Publications

Large language models and evolutionary computation: A critical review of bidirectional interaction, automated algorithm design, and co-adaptive systems

Published in Computer Science Review, 2027

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Recommended citation: Dikshit Chauhan, Bapi Dutta, Indu Bala, Niki van Stein, Thomas Bäck, Anupam Yadav, "Large language models and evolutionary computation: A critical review of bidirectional interaction, automated algorithm design, and co-adaptive systems." Computer Science Review, 2027.

Agentic Large Language Models

Published in Springer (book, coming soon), 2026

Recommended citation: Max van Duijn, Michiel van der Meer, Aske Plaat, Niki van Stein, "Agentic Large Language Models." Springer, 2026. Coming soon. arXiv preprint arXiv:2610.13455.

Breaking Bureaucracy: Evaluating open-source LLMs for legal document review

Published in arXiv preprint arXiv:2610.06345, 2026

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Recommended citation: Farrukh Baratov, Niki van Stein, Suzan Verberne, "Breaking Bureaucracy: Evaluating open-source LLMs for legal document review." arXiv preprint arXiv:2610.06345, 2026.

EvoMO-SR: Multiobjective LLM-based Evolution of Symbolic Expressions with substructure guidance

Published in arXiv preprint arXiv:2609.36187, 2026

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Recommended citation: Cristina Rossetti, Anna V Kononova, Thomas Bäck, Fei Liu, Niki Van Stein, "EvoMO-SR: Multiobjective LLM-based Evolution of Symbolic Expressions with substructure guidance." arXiv preprint arXiv:2609.36187, 2026.

Detecting and Repairing Hallucinations in Retrieval-Augmented Generation

Published in arXiv preprint arXiv:2608.29307, 2026

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Recommended citation: Sai Krishna Reddy Mulakkayala, Niki van Stein, Aske Plaat, "Detecting and Repairing Hallucinations in Retrieval-Augmented Generation." arXiv preprint arXiv:2608.29307, 2026.

Lens-descriptor guided evolutionary algorithm for optimization of complex optical systems with glass choice

Published in International Conference on Parallel Problem Solving from Nature, 2026

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Recommended citation: Kirill Antonov, Teus Tukker, Tiago Botari, Thomas HW Bäck, Anna V Kononova, Niki van Stein, "Lens-descriptor guided evolutionary algorithm for optimization of complex optical systems with glass choice." International Conference on Parallel Problem Solving from Nature, 2026.

Evolving Executable Pipeline Programs for AutoML with Language Models

Published in arXiv preprint arXiv:2608.16416, 2026

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Recommended citation: Sofoklis Kitharidis, Cor J Veenman, Jan N van Rijn, Thomas Bäck, Niki van Stein, "Evolving Executable Pipeline Programs for AutoML with Language Models." arXiv preprint arXiv:2608.16416, 2026.

Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring

Published in IEEE Internet of Things Journal, 2026

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Recommended citation: Christian Internò, Elena Raponi, Markus Olhofer, Ali Raza, Thomas Bäck, Niki Van Stein, Yaochu Jin, Barbara Hammer, "Pruning Federated Models through Loss Landscape Analysis and Client Agreement Scoring." IEEE Internet of Things Journal, 2026.

Optimizing for Difference: LLM-Driven Benchmark Design for Maximum Solver Discriminability

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2026

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Recommended citation: Ananta A Shahane, Niki van Stein, "Optimizing for Difference: LLM-Driven Benchmark Design for Maximum Solver Discriminability." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2026.

Large Language Models for Metaheuristic Design: Exploring Challenges, Limitations, Tools, Benchmarking and Future Opportunities

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2026

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Recommended citation: Roman Senkerik, Niki van Stein, Adam Viktorin, Michal Pluhacek, Thomas Back, "Large Language Models for Metaheuristic Design: Exploring Challenges, Limitations, Tools, Benchmarking and Future Opportunities." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2026.

EvoHIIT: Preference-Based Selection in LLM-Assisted Evolutionary Design of Natural Language Solutions

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2026

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Recommended citation: Johana Chen, Niki van Stein, Robert Cabri, Thomas Bäck, Anna V Kononova, "EvoHIIT: Preference-Based Selection in LLM-Assisted Evolutionary Design of Natural Language Solutions." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2026.

Structural Bias in Multi-objective Optimization

Published in Proceedings of the Genetic and Evolutionary Computation Conference, 2026

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Recommended citation: Jakub Kudela, Niki van Stein, Thomas Bäck, Anna Kononova, "Structural Bias in Multi-objective Optimization." Proceedings of the Genetic and Evolutionary Computation Conference, 2026.

Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization

Published in Proceedings of the Genetic and Evolutionary Computation Conference, 2026

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Recommended citation: Haoran Yin, Shuaiqun Pan, Zhao Wei, Jian Cheng Wong, Yew-Soon Ong, Anna Kononova, Thomas Bäck, Niki Stein, "Landscape-aware Automated Algorithm Design: An Efficient Framework for Real-world Optimization." Proceedings of the Genetic and Evolutionary Computation Conference, 2026.

LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms

Published in Proceedings of the Genetic and Evolutionary Computation Conference, 2026

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Recommended citation: Wenhu Li, Niki van Stein, Thomas Bäck, Elena Raponi, "LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms." Proceedings of the Genetic and Evolutionary Computation Conference, 2026.

Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking

Published in Proceedings of the Genetic and Evolutionary Computation Conference, 2026

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Recommended citation: Furong Ye, Frank Neumann, Thomas Bäck, Niki van Stein, "Block-Bench: A Framework for Controllable and Transparent Discrete Optimization Benchmarking." Proceedings of the Genetic and Evolutionary Computation Conference, 2026.

Assessing Reproducibility in Evolutionary Computation: A Case Study using Human-and LLM-based Assessment

Published in Proceedings of the Genetic and Evolutionary Computation Conference, 2026

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Recommended citation: Francesca Da Ros, Tarik Začiragić, Aske Plaat, Thomas Bäck, Niki van Stein, "Assessing Reproducibility in Evolutionary Computation: A Case Study using Human-and LLM-based Assessment." Proceedings of the Genetic and Evolutionary Computation Conference, 2026.

LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms

Published in arXiv preprint arXiv:2607.08791, 2026

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Recommended citation: Georgios Laskaris, Reuben Brasher, Niki van Stein, Elena Raponi, Thomas Bäck, Florian Neukart, "LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms." arXiv preprint arXiv:2607.08791, 2026.

Computational Intelligence: 16th International Joint Conference, IJCCI 2024 Porto, Portugal, November 20-22, 2024 Revised Selected Papers

Published in Springer Nature, 2026

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Recommended citation: Niki van Stein, Francesco Marcelloni, Kurosh Madani, Joaquim Filipe (Eds.), "Computational Intelligence: 16th International Joint Conference, IJCCI 2024 Porto, Portugal, November 20-22, 2024 Revised Selected Papers." Springer Nature, 2026.

Maintenance Planning for Prognostic Health Management of Multi-Component Systems: A Case Study of Multi-Objective Optimisation for Railway Vehicles

Published in PHM Society European Conference, 2026

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Recommended citation: Bernd Wagner, Sofoklis Kitharidis, Furong Ye, Thomas Bäck, Niki van Stein, "Maintenance Planning for Prognostic Health Management of Multi-Component Systems: A Case Study of Multi-Objective Optimisation for Railway Vehicles." PHM Society European Conference, 2026.

3DMorph: Single-Image-Guided Local 3D Shape Editing and Morphing

Published in arXiv preprint arXiv:2606.07115, 2026

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Recommended citation: Tobias Preintner, Yunfei Deng, Phillip Müller, Sebastian Illing, Adrian König, Thomas Bäck, Elena Raponi, Niki van Stein, "3DMorph: Single-Image-Guided Local 3D Shape Editing and Morphing." arXiv preprint arXiv:2606.07115, 2026.

Every Component is a Lookup: Token Attribution and Composition from a Single Decomposition

Published in arXiv preprint arXiv:2605.23393, 2026

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Recommended citation: Po-Kai Chen, Aske Plaat, Niki van Stein, "Every Component is a Lookup: Token Attribution and Composition from a Single Decomposition." arXiv preprint arXiv:2605.23393, 2026.

MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling

Published in arXiv preprint arXiv:2605.12154, 2026

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Recommended citation: Zhong Li, Qi Huang, Yuxuan Zhu, Mohammad Mohammadi Amiri, Niki van Stein, Thomas Bäck, Matthijs van Leeuwen, Zaiwen Wen, Lincen Yang, "MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling." arXiv preprint arXiv:2605.12154, 2026.

LLM Driven Design of Continuous Optimization Problems with Controllable High-Level Properties

Published in International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2026

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Recommended citation: Urban Skvorc, Niki van Stein, Moritz Seiler, Britta Grimme, Thomas Bäck, Heike Trautmann, "LLM Driven Design of Continuous Optimization Problems with Controllable High-Level Properties." International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2026.

Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study

Published in International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2026

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Recommended citation: Jelle Westra, Ivan Olarte Rodriguez, Niki van Stein, Thomas Bäck, Elena Raponi, "Investigating the Interplay of Parameterization and Optimizer in Gradient-Free Topology Optimization: A Cantilever Beam Case Study." International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2026.

From Performance to Understanding: A Vision for Explainable Automated Algorithm Design

Published in International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2026

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Recommended citation: Niki van Stein, Anna V Kononova, Thomas Bäck, "From Performance to Understanding: A Vision for Explainable Automated Algorithm Design." International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2026.

Benchmarking that Matters: Rethinking Benchmarking in Continuous Optimisation for Practical Impact

Published in International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2026

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Recommended citation: Anna V Kononova, Niki van Stein, Olaf Mersmann, Thomas Bäck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub Kůdela, Boris Naujoks, Leonard Papenmeier, Elena Raponi, Quentin Renau, Jeroen Rook, Lennart Schäpermeier, Diederick Vermetten, Daniela Zaharie, "Benchmarking that Matters: Rethinking Benchmarking in Continuous Optimisation for Practical Impact." International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2026.

Bridging Racial and Age Gaps in Face Recognition: A Data-Augmentation Framework for Fair AI

Published in SN Computer Science, 2026

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Recommended citation: Sofoklis Kitharidis, Anthonie Schaap, Thomas Bäck, Niki van Stein, "Bridging Racial and Age Gaps in Face Recognition: A Data-Augmentation Framework for Fair AI." SN Computer Science, 2026.

How does chain of thought think? mechanistic interpretability of chain-of-thought reasoning with sparse autoencoding

Published in Proceedings of the AAAI Conference on Artificial Intelligence, 2026

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Recommended citation: Xi Chen, Aske Plaat, Niki van Stein, "How does chain of thought think? mechanistic interpretability of chain-of-thought reasoning with sparse autoencoding." Proceedings of the AAAI Conference on Artificial Intelligence, 2026.

From heuristic selection to automated algorithm design: Llms benefit from strong priors

Published in arXiv preprint arXiv:2603.02792, 2026

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Recommended citation: Qi Huang, Furong Ye, Ananta Shahane, Thomas Bäck, Niki van Stein, "From heuristic selection to automated algorithm design: Llms benefit from strong priors." arXiv preprint arXiv:2603.02792, 2026.

Multi-subspace SVD Generators for Continual Learning

Published in International Joint Conference on Computational Intelligence, 2026

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Recommended citation: Christiaan Lamers, Ahmed Nabil Belbachir, Thomas Bäck, Niki van Stein, "Multi-subspace SVD Generators for Continual Learning." International Joint Conference on Computational Intelligence, 2026.

Mechanistic interpretability for transformer-based time series classification

Published in International Joint Conference on Computational Intelligence, 2026

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Recommended citation: Matīss Kalnāre, Sofoklis Kitharidis, Thomas Bäck, Niki van Stein, "Mechanistic interpretability for transformer-based time series classification." International Joint Conference on Computational Intelligence, 2026.

Computational Intelligence: 17th International Joint Conference, IJCCI 2025, Marbella, Spain, October 22–24, 2025, Proceedings, Part III

Published in Springer Nature, 2026

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Recommended citation: Francesco Marcelloni, Kurosh Madani, Niki van Stein, Joaquim Filipe (Eds.), "Computational Intelligence: 17th International Joint Conference, IJCCI 2025, Marbella, Spain, October 22–24, 2025, Proceedings, Part III." Springer Nature, 2026.

Behaviour space analysis of llm-driven meta-heuristic discovery

Published in International Joint Conference on Computational Intelligence, 2026

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Recommended citation: Niki van Stein, Haoran Yin, Anna V Kononova, Thomas Bäck, Gabriela Ochoa, "Behaviour space analysis of llm-driven meta-heuristic discovery." International Joint Conference on Computational Intelligence, 2026.

A survey of features used for representing black-box single-objective continuous optimization

Published in Swarm and Evolutionary Computation, 2026

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Recommended citation: Gjorgjina Cenikj, Ana Nikolikj, Gašper Petelin, Niki Van Stein, Carola Doerr, Tome Eftimov, "A survey of features used for representing black-box single-objective continuous optimization." Swarm and Evolutionary Computation, 2026.

LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI

Published in arXiv preprint arXiv:2601.21511, 2026

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Recommended citation: Niki van Stein, Anna V Kononova, Lars Kotthoff, Thomas Bäck, "LLaMEA-SAGE: Guiding Automated Algorithm Design with Structural Feedback from Explainable AI." arXiv preprint arXiv:2601.21511, 2026.

State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models

Published in arXiv preprint arXiv:2602.15858, 2026

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Recommended citation: Annie Wong, Aske Plaat, Thomas Bäck, Niki van Stein, Anna V Kononova, "State Design Matters: How Representations Shape Dynamic Reasoning in Large Language Models." arXiv preprint arXiv:2602.15858, 2026.

Agentic large language models, a survey

Published in Journal of Artificial Intelligence Research, 2025

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Recommended citation: Aske Plaat, Max Van Duijn, Niki Van Stein, Mike Preuss, Peter Van der Putten, Kees Joost Batenburg, "Agentic large language models, a survey." Journal of Artificial Intelligence Research, 2025.

Multi-step reasoning with large language models, a survey

Published in ACM Computing Surveys, 2025

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Recommended citation: Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens, Niki Van, "Multi-step reasoning with large language models, a survey." ACM Computing Surveys, 2025.

Gradient Free Multi-Objective Counterfactual Explainability for Multivariate Time Series Classification

Published in 2025 IEEE International Conference on Big Data (BigData), 2025

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Recommended citation: Qi Huang, Sofoklis Kitharidis, Furong Ye, Marius Ottolini, Thomas Bäck, Niki van Stein, "Gradient Free Multi-Objective Counterfactual Explainability for Multivariate Time Series Classification." 2025 IEEE International Conference on Big Data (BigData), 2025.

Reasoning capabilities of large language models on dynamic tasks

Published in 2025 3rd International Conference on Foundation and Large Language Models (FLLM), 2025

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Recommended citation: Annie Wong, Thomas Bäck, Aske Plaat, Niki van Stein, Anna V Kononova, "Reasoning capabilities of large language models on dynamic tasks." 2025 3rd International Conference on Foundation and Large Language Models (FLLM), 2025.

REMAINING USEFUL LIFE IN COMPLEX MULTI-COMPONENT SYSTEMS: TAXONOMY, REVIEW, AND RESEARCH DIRECTIONS

Published in Authorea Preprints, 2025

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Recommended citation: Bernd Wagner, Qi Huang, Lucas Correia, Thomas B{\"a}ck, Anna Kononova, Niki Van, "REMAINING USEFUL LIFE IN COMPLEX MULTI-COMPONENT SYSTEMS: TAXONOMY, REVIEW, AND RESEARCH DIRECTIONS." Authorea Preprints, 2025.

EvoCAD: Evolutionary CAD Code Generation with Vision Language Models

Published in 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI), 2025

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Recommended citation: Tobias Preintner, Weixuan Yuan, Adrian König, Thomas Bäck, Elena Raponi, Niki Van Stein, "EvoCAD: Evolutionary CAD Code Generation with Vision Language Models." 2025 IEEE 37th International Conference on Tools with Artificial Intelligence (ICTAI), 2025.

Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space

Published in arXiv preprint arXiv:2510.22209, 2025

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Recommended citation: Sofoklis Kitharidis, Cor Veenman, Thomas B{\"a}ck, Niki Stein, "Visual Model Selection using Feature Importance Clusters in Fairness-Performance Similarity Optimized Space." arXiv preprint arXiv:2510.22209, 2025.

Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching

Published in Advances in Neural Information Processing Systems, 2025

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Recommended citation: Zhong Li, Qi Huang, Yuxuan Zhu, Lincen Yang, Mohammad Mohammadi Amiri, Niki van Stein, Matthijs van Leeuwen, "Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching." Advances in Neural Information Processing Systems, 2025.

Automated Algorithm Design for Auto-Tuning Optimizers

Published in Proceedings of Machine Learning and Systems, 2025

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Recommended citation: Floris-Jan Willemsen, Niki van Stein, Ben van Werkhoven, "Automated Algorithm Design for Auto-Tuning Optimizers." Proceedings of Machine Learning and Systems, 2026.

Leveraging Lightweight Generators for Memory Efficient Continual Learning

Published in Intelligent Systems Conference, 2025

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Recommended citation: Christiaan Lamers, Ahmed Belbachir, Thomas B{\"a}ck, Niki Stein, "Leveraging Lightweight Generators for Memory Efficient Continual Learning." Intelligent Systems Conference, 2025.

CoComposer: LLM Multi-agent Collaborative Music Composition

Published in arXiv preprint arXiv:2509.00132, 2025

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Recommended citation: Peiwen Xing, Aske Plaat, Niki Stein, "CoComposer: LLM Multi-agent Collaborative Music Composition." arXiv preprint arXiv:2509.00132, 2025.

Quality–diversity-driven robust evolutionary optimization of optical designs

Published in Optical Engineering, 2025

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Recommended citation: Kirill Antonov, Teus Tukker, Tiago Botari, Thomas B{\"a}ck, Anna Kononova, Niki Stein, "Quality--diversity-driven robust evolutionary optimization of optical designs." Optical Engineering, 2025.

Development of a photonic crystal spectrometer for greenhouse gas measurements

Published in International Conference on Space Optics—ICSO 2024, 2025

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Recommended citation: Marijn Siemons, Martijn Veen, Irina Malysheva, Johannes Algera, Stefan Philippi, Kirill Antonov, Niki van Stein, Jérôme Loicq, Nandini Bhattacharya, René Berlich, Anna V Kononova, Ralf Kohlhaas, "Development of a photonic crystal spectrometer for greenhouse gas measurements." International Conference on Space Optics—ICSO 2024, 2025.

Structural bias in optimization algorithms

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

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Recommended citation: Anna Kononova, Niki Stein, "Structural bias in optimization algorithms." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025.

Optimizing photonic structures with large language model driven algorithm discovery

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

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Recommended citation: Haoran Yin, Anna Kononova, Thomas B{\"a}ck, Niki Stein, "Optimizing photonic structures with large language model driven algorithm discovery." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025.

Neighborhood Adaptive Differential Evolution

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

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Recommended citation: Niki Stein, "Neighborhood Adaptive Differential Evolution." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025.

BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025

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Recommended citation: Niki Stein, Anna V., Haoran Yin, Thomas B{\"a}ck, "BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2025.

Code evolution graphs: Understanding large language model driven design of algorithms

Published in Proceedings of the Genetic and Evolutionary Computation Conference, 2025

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Recommended citation: Niki Stein, Anna V., Lars Kotthoff, Thomas B{\"a}ck, "Code evolution graphs: Understanding large language model driven design of algorithms." Proceedings of the Genetic and Evolutionary Computation Conference, 2025.

Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects

Published in 2025 International Joint Conference on Neural Networks (IJCNN), 2025

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Recommended citation: Tobias Preintner, Weixuan Yuan, Qi Huang, Adrian König, Thomas Bäck, Elena Raponi, Niki van Stein, "Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects." 2025 International Joint Conference on Neural Networks (IJCNN), 2025.

XAI for Benchmarking Black-Box Metaheuristics

Published in Explainable AI for Evolutionary Computation, 2025

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Recommended citation: Anna Kononova, Diederick Vermetten, Niki Stein, "XAI for Benchmarking Black-Box Metaheuristics." Explainable AI for Evolutionary Computation, 2025.

The Synergy of Explainable AI and Evolutionary Computation: Real-World Applications

Published in Explainable AI for Evolutionary Computation, 2025

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Recommended citation: Niki Stein, Qi Huang, Elena Raponi, "The Synergy of Explainable AI and Evolutionary Computation: Real-World Applications." Explainable AI for Evolutionary Computation, 2025.

Global Sensitivity Analysis Is Not Always Beneficial for Evolutionary Computation: A Study in Engineering Design

Published in Explainable AI for Evolutionary Computation, 2025

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Recommended citation: Elena Raponi, Ivan Rodriguez, Niki Stein, "Global Sensitivity Analysis Is Not Always Beneficial for Evolutionary Computation: A Study in Engineering Design." Explainable AI for Evolutionary Computation, 2025.

Explainable AI for Evolutionary Computation

Published in Springer, 2025

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Recommended citation: Niki van Stein, Anna V Kononova (Eds.), "Explainable AI for Evolutionary Computation." Springer, 2025.

An Introduction to the Crossroads of Explainable Artificial Intelligence and Evolutionary Computation

Published in Explainable AI for Evolutionary Computation, 2025

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Recommended citation: Niki Stein, Anna Kononova, "An Introduction to the Crossroads of Explainable Artificial Intelligence and Evolutionary Computation." Explainable AI for Evolutionary Computation, 2025.

In-the-loop hyper-parameter optimization for llm-based automated design of heuristics

Published in ACM Transactions on Evolutionary Learning, 2025

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Recommended citation: Niki Stein, Diederick Vermetten, Thomas B{\"a}ck, "In-the-loop hyper-parameter optimization for llm-based automated design of heuristics." ACM Transactions on Evolutionary Learning, 2025.

Surrogate-based automated hyperparameter optimization for expensive automotive crashworthiness optimization

Published in Structural and Multidisciplinary Optimization, 2025

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Recommended citation: Fu Long, Niki Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas B{\"a}ck, "Surrogate-based automated hyperparameter optimization for expensive automotive crashworthiness optimization." Structural and Multidisciplinary Optimization, 2025.

Stalling in Space: Attractor Analysis for any Algorithm

Published in International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2025

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Recommended citation: Sarah Thomson, Quentin Renau, Diederick Vermetten, Emma Hart, Niki Stein, Anna Kononova, "Stalling in Space: Attractor Analysis for any Algorithm." International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2025.

Controlling the mutation in large language models for the efficient evolution of algorithms

Published in International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2025

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Recommended citation: Haoran Yin, Anna Kononova, Thomas B{\"a}ck, Niki Stein, "Controlling the mutation in large language models for the efficient evolution of algorithms." International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2025.

TeVAE: a variational autoencoder aproach for discrete online anomaly detection in variable-state multivariate time-series data

Published in Studies in Computational Intelligence, 2025

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Recommended citation: L Ferreira, JC Goos, P Klein, THW B{\"a}ck, AV Kononova, N Stein, C Wagner, JM Garibaldi, F Marcelloni, HK Lam, "TeVAE: a variational autoencoder aproach for discrete online anomaly detection in variable-state multivariate time-series data." Studies in Computational Intelligence, 2025.

Computational Intelligence: 14th and 15th International Joint Conference on Computational Intelligence (IJCCI 2022 and IJCCI 2023) Revised Selected Papers

Published in Springer Nature, 2025

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Recommended citation: Thomas Bäck, Niki van Stein, Christian Wagner, Jonathan M Garibaldi, Francesco Marcelloni, Hak-Keung Lam, Marie Cottrell, Faiyaz Doctor, Joaquim Filipe, Kevin Warwick, Janusz Kacprzyk (Eds.), "Computational Intelligence: 14th and 15th International Joint Conference on Computational Intelligence (IJCCI 2022 and IJCCI 2023) Revised Selected Papers." Springer Nature, 2025.

Diffusion and flow matching models for tabular data: A survey

Published in arXiv preprint arXiv:2502.17119, 2025

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Recommended citation: Zhong Li, Qi Huang, Lincen Yang, Jiayang Shi, Zhao Yang, Niki van Stein, Thomas Bäck, Matthijs van Leeuwen, "Diffusion and flow matching models for tabular data: A survey." arXiv preprint arXiv:2502.17119, 2025.

Explainable benchmarking for iterative optimization heuristics

Published in ACM Transactions on Evolutionary Learning, 2025

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Recommended citation: Niki van Stein, Diederick Vermetten, Anna V Kononova, Thomas Bäck, "Explainable benchmarking for iterative optimization heuristics." ACM Transactions on Evolutionary Learning, 2025.

Towards Fairness in Machine Learning: Balancing Racially Imbalanced Datasets Through Data Augmentation and Generative AI

Published in IJCCI, 2024

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Recommended citation: Anthonie Schaap, Sofoklis Kitharidis, Niki Stein, "Towards Fairness in Machine Learning: Balancing Racially Imbalanced Datasets Through Data Augmentation and Generative AI." IJCCI, 2024.

TX-Gen: multi-objective optimization for sparse counterfactual explanations for time-series classification

Published in arxiv, 2024

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Recommended citation: Q Huang, S Kitharidis, THW B{\"a}ck, N Stein, "TX-Gen: multi-objective optimization for sparse counterfactual explanations for time-series classification." arxiv, 2024.

Llamea: A large language model evolutionary algorithm for automatically generating metaheuristics

Published in IEEE Transactions on Evolutionary Computation, 2024

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Recommended citation: Niki Stein, Thomas B{\"a}ck, "Llamea: A large language model evolutionary algorithm for automatically generating metaheuristics." IEEE Transactions on Evolutionary Computation, 2024.

EconoJax: A Fast & Scalable Economic Simulation in Jax

Published in arXiv preprint arXiv:2410.22165, 2024

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Recommended citation: Koen Ponse, Aske Plaat, Niki Stein, Thomas Moerland, "EconoJax: A Fast & Scalable Economic Simulation in Jax." arXiv preprint arXiv:2410.22165, 2024.

Evolutionary computation and explainable AI: A roadmap to understandable intelligent systems

Published in IEEE Transactions on Evolutionary Computation, 2024

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Recommended citation: Ryan Zhou, Jaume Bacardit, Alexander Brownlee, Stefano Cagnoni, Martin Fyvie, Giovanni Iacca, John McCall, Niki Stein, David Walker, Ting Hu, "Evolutionary computation and explainable AI: A roadmap to understandable intelligent systems." IEEE Transactions on Evolutionary Computation, 2024.

Selection of filters for photonic crystal spectrometer using domain-aware evolutionary algorithms

Published in arXiv preprint arXiv:2410.13657, 2024

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Recommended citation: Kirill Antonov, Marijn Siemons, Niki Stein, Thomas B{\"a}ck, Ralf Kohlhaas, Anna Kononova, "Selection of filters for photonic crystal spectrometer using domain-aware evolutionary algorithms." arXiv preprint arXiv:2410.13657, 2024.

ACO-NSGAII: A Novel Metaheuristics for Bi-Objective Electric Vehicle Routing Problems

Published in 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2024

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Recommended citation: Suzan Al-Nassar, Niki Stein, Yingjie Fan, "ACO-NSGAII: A Novel Metaheuristics for Bi-Objective Electric Vehicle Routing Problems." 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2024.

Landscape-aware automated algorithm configuration using multi-output mixed regression and classification

Published in International Conference on Parallel Problem Solving from Nature, 2024

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Recommended citation: Fu Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas B{\"a}ck, Niki Stein, "Landscape-aware automated algorithm configuration using multi-output mixed regression and classification." International Conference on Parallel Problem Solving from Nature, 2024.

A deep dive into effects of structural bias on cma-es performance along affine trajectories

Published in International Conference on Parallel Problem Solving from Nature, 2024

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Recommended citation: Niki Stein, Sarah Thomson, Anna Kononova, "A deep dive into effects of structural bias on cma-es performance along affine trajectories." International Conference on Parallel Problem Solving from Nature, 2024.

Reasoning with large language models, a survey

Published in arXiv preprint arXiv:2407.11511, 2024

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Recommended citation: Aske Plaat, Annie Wong, Suzan Verberne, Joost Broekens, Niki Stein, Thomas Back, "Reasoning with large language models, a survey." arXiv preprint arXiv:2407.11511, 2024.

Modular optimization framework for mixed expensive and inexpensive real-world problems

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

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Recommended citation: Roy de Winter, Thomas Bäck, Niki Van Stein, "Modular optimization framework for mixed expensive and inexpensive real-world problems." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024.

A functional analysis approach to symbolic regression

Published in Proceedings of the Genetic and Evolutionary Computation Conference, 2024

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Recommended citation: Kirill Antonov, Roman Kalkreuth, Kaifeng Yang, Thomas B{\"a}ck, Niki Stein, Anna Kononova, "A functional analysis approach to symbolic regression." Proceedings of the Genetic and Evolutionary Computation Conference, 2024.

A Critical Analysis of Raven Roost Optimization

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

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Recommended citation: Martijn Halsema, Diederick Vermetten, Thomas B{\"a}ck, Niki Van, "A Critical Analysis of Raven Roost Optimization." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024.

A Corridor Model Evolutionary Algorithm for Fast Converging Green Vehicle Routing Problem

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

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Recommended citation: Ananta Shahane, Niki Van, Yingjie Fan, "A Corridor Model Evolutionary Algorithm for Fast Converging Green Vehicle Routing Problem." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024.

Beyond the veil of similarity: Quantifying semantic continuity in explainable AI

Published in World Conference on Explainable Artificial Intelligence, 2024

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Recommended citation: Qi Huang, Emanuele Mezzi, Osman Mutlu, Miltiadis Kofinas, Vidya Prasad, Shadnan Khan, Elena Ranguelova, Niki Stein, "Beyond the veil of similarity: Quantifying semantic continuity in explainable AI." World Conference on Explainable Artificial Intelligence, 2024.

Landscape analysis based vs. domain-specific optimization for engineering design applications: a clear case

Published in 2024 IEEE Conference on Artificial Intelligence (CAI), 2024

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Recommended citation: Roy Winter, Fu Long, Andre Thomaser, Thomas B{\"a}ck, Niki Stein, Anna Kononova, "Landscape analysis based vs. domain-specific optimization for engineering design applications: a clear case." 2024 IEEE Conference on Artificial Intelligence (CAI), 2024.

Quality-diversity driven robust evolutionary optimization of optical designs

Published in Computational Optics 2024, 2024

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Recommended citation: Kirill Antonov, Teus Tukker, Tiago Botari, Thomas B{\"a}ck, Anna Kononova, Niki Stein, "Quality-diversity driven robust evolutionary optimization of optical designs." Computational Optics 2024, 2024.

Generating cheap representative functions for expensive automotive crashworthiness optimization

Published in ACM Transactions on Evolutionary Learning and Optimization, 2024

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Recommended citation: Fu Long, Bas Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas B{\"a}ck, "Generating cheap representative functions for expensive automotive crashworthiness optimization." ACM Transactions on Evolutionary Learning and Optimization, 2024.

Parallel multi-objective optimization for expensive and inexpensive objectives and constraints

Published in Swarm and Evolutionary Computation, 2024

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Recommended citation: Roy Winter, Bas Milatz, Julian Blank, Niki Stein, Thomas B{\"a}ck, Kalyanmoy Deb, "Parallel multi-objective optimization for expensive and inexpensive objectives and constraints." Swarm and Evolutionary Computation, 2024.

Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification

Published in Preprint on arXiv preprint arXiv:2402.01343, 2024

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Recommended citation: Qi Huang, Wei Chen, Thomas B{\"a}ck, Niki Stein, "Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification." Preprint on arXiv preprint arXiv:2402.01343, 2024.

Adaptive model pruning in federated learning through loss exploration

Published in 2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ ICML 2024), 2024

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Recommended citation: Christian Interno, Elena Raponi, Niki Stein, Thomas B{\"a}ck, Markus Olhofer, Yaochu Jin, Barbara Hammer, "Adaptive model pruning in federated learning through loss exploration." 2nd Workshop on Advancing Neural Network Training: Computational Efficiency, Scalability, and Resource Optimization (WANT@ ICML 2024), 2024.

Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-) Optimized Algorithm Parameters.

Published in IJCCI, 2023

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Recommended citation: Andr{\'e} Thomaser, Marc-Eric Vogt, Thomas B{\"a}ck, Anna Kononova, N Stein, F Marcelloni, HK Lam, M Cottrell, J Filipe, "Real-World Optimization Benchmark from Vehicle Dynamics: Specification of Problems in 2D and Methodology for Transferring (Meta-) Optimized Algorithm Parameters.." IJCCI, 2023.

The Opaque Nature of Intelligence and the Pursuit of Explainable AI

Published in ECTA 2023, 2023

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Recommended citation: SL Thomson, N van Stein, D van den Berg, C van Leeuwen, "The Opaque Nature of Intelligence and the Pursuit of Explainable AI." ECTA 2023 proceedings, 2023.

Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations

Published in Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023

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Recommended citation: Kirill Antonov, Anna Kononova, Thomas B{\"a}ck, Niki Stein, "Curing ill-Conditionality via Representation-Agnostic Distance-Driven Perturbations." Proceedings of the 17th ACM/SIGEVO Conference on Foundations of Genetic Algorithms, 2023.

New solutions to Cooke triplet problem via analysis of attraction basins

Published in Digital Optical Technologies 2023, 2023

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Recommended citation: Kirill Antonov, Tiago Botari, Teuss Tukker, Thomas B{\"a}ck, Niki Stein, Anna Kononova, "New solutions to Cooke triplet problem via analysis of attraction basins." Digital Optical Technologies 2023, 2023.

Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems

Published in Preprint on arXiv preprint arXiv:2306.02985, 2023

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Recommended citation: Kirill Antonov, Anna Kononova, Thomas B{\"a}ck, Niki Stein, "Representation-agnostic distance-driven perturbation for optimizing ill-conditioned problems." Preprint on arXiv preprint arXiv:2306.02985, 2023.

Evolutionary Algorithms for Parameter Optimization—Thirty Years Later

Published in Evolutionary Computation, 2023

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Recommended citation: Thomas B{\"a}ck, Anna Kononova, Bas Stein, Hao Wang, Kirill Antonov, Roman Kalkreuth, Jacob Nobel, Diederick Vermetten, Roy Winter, Furong Ye, "Evolutionary Algorithms for Parameter Optimization—Thirty Years Later." Evolutionary Computation, 2023.

Challenges of ELA-guided Function Evolution using Genetic Programming

Published in Preprint on arXiv preprint arXiv:2305.15245, 2023

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Recommended citation: Fu Long, Diederick Vermetten, Anna Kononova, Roman Kalkreuth, Kaifeng Yang, Thomas B{\"a}ck, Niki Stein, "Challenges of ELA-guided Function Evolution using Genetic Programming." Preprint on arXiv preprint arXiv:2305.15245, 2023.

BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances

Published in International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2023

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Recommended citation: Fu Long, Diederick Vermetten, Bas Stein, Anna Kononova, "BBOB Instance Analysis: Landscape Properties and Algorithm Performance Across Problem Instances." International Conference on the Applications of Evolutionary Computation (Part of EvoStar), 2023.

Deep-BIAS: Detecting Structural Bias using Explainable AI

Published in Preprint on arXiv preprint arXiv:2304.01869, 2023

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Recommended citation: Bas Stein, Diederick Vermetten, Fabio Caraffini, Anna Kononova, "Deep-BIAS: Detecting Structural Bias using Explainable AI." Preprint on arXiv preprint arXiv:2304.01869, 2023.

Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection

Published in Computers in Industry, 2023

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Recommended citation: Alexander Zeiser, Bekir {\"O}zcan, Bas Stein, Thomas B{\"a}ck, "Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection." Computers in Industry, 2023.

DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis

Published in Preprint on arXiv preprint arXiv:2304.01219, 2023

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Recommended citation: Bas Stein, Fu Long, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas B{\"a}ck, "DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis." Preprint on arXiv preprint arXiv:2304.01219, 2023.

A data-centric approach to anomaly detection in layer-based additive manufacturing

Published in at-Automatisierungstechnik, 2023

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Recommended citation: Alexander Zeiser, Bekir {\"O}zcan, Christoph Kracke, Bas Stein, Thomas B{\"a}ck, "A data-centric approach to anomaly detection in layer-based additive manufacturing." at-Automatisierungstechnik, 2023.

Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems

Published in Preprint on arXiv preprint arXiv:2212.06438, 2022

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Recommended citation: Qi Huang, Roy Winter, Bas Stein, Thomas B{\"a}ck, Anna Kononova, "Multi-surrogate Assisted Efficient Global Optimization for Discrete Problems." Preprint on arXiv preprint arXiv:2212.06438, 2022.

GSAreport: Easy to Use Global Sensitivity Reporting

Published in Journal of Open Source Software, 2022

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Recommended citation: Bas Van, Elena Raponi, "GSAreport: Easy to Use Global Sensitivity Reporting." Journal of Open Source Software, 2022.

A comparison of global sensitivity analysis methods for explainable AI with an application in genomic prediction

Published in IEEE Access, 2022

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Recommended citation: Bas Van, Elena Raponi, Zahra Sadeghi, Niek Bouman, Roeland Van, Thomas B{\"a}ck, "A comparison of global sensitivity analysis methods for explainable AI with an application in genomic prediction." IEEE Access, 2022.

BIAS: a toolbox for benchmarking structural bias in the continuous domain

Published in IEEE Transactions on Evolutionary Computation, 2022

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Recommended citation: Diederick Vermetten, Bas Stein, Fabio Caraffini, Leandro Minku, Anna Kononova, "BIAS: a toolbox for benchmarking structural bias in the continuous domain." IEEE Transactions on Evolutionary Computation, 2022.

Using structural bias to analyse the behaviour of modular CMA-ES

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022

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Recommended citation: Diederick Vermetten, Fabio Caraffini, Bas Stein, Anna Kononova, "Using structural bias to analyse the behaviour of modular CMA-ES." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2022.

Multi-point acquisition function for constraint parallel efficient multi-objective optimization

Published in Proceedings of the Genetic and Evolutionary Computation Conference, 2022

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Recommended citation: Roy Winter, Bas Stein, Thomas B{\"a}ck, "Multi-point acquisition function for constraint parallel efficient multi-objective optimization." Proceedings of the Genetic and Evolutionary Computation Conference, 2022.

Learning the characteristics of engineering optimization problems with applications in automotive crash

Published in Proceedings of the Genetic and Evolutionary Computation Conference, 2022

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Recommended citation: Fu Long, Bas Stein, Moritz Frenzel, Peter Krause, Markus Gitterle, Thomas B{\"a}ck, "Learning the characteristics of engineering optimization problems with applications in automotive crash." Proceedings of the Genetic and Evolutionary Computation Conference, 2022.

An end-to-end pipeline for uncertainty quantification and remaining useful life estimation: An application on aircraft engines

Published in PHM Society European Conference, 2022

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Recommended citation: Marios Kefalas, Bas Stein, Mitra Baratchi, Asteris Apostolidis, Thomas B{\"a}ck, "An end-to-end pipeline for uncertainty quantification and remaining useful life estimation: An application on aircraft engines." PHM Society European Conference, 2022.

Explainable artificial intelligence for exhaust gas temperature of turbofan engines

Published in Journal of Aerospace Information Systems, 2022

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Recommended citation: Marios Kefalas, Juan Santiago, Asteris Apostolidis, Dirk Van, Bas Stein, Thomas B{\"a}ck, "Explainable artificial intelligence for exhaust gas temperature of turbofan engines." Journal of Aerospace Information Systems, 2022.

Constrained multi-objective optimization with a limited budget of function evaluations

Published in Memetic Computing, 2022

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Recommended citation: Roy Winter, Philip Bronkhorst, Bas Stein, Thomas B{\"a}ck, "Constrained multi-objective optimization with a limited budget of function evaluations." Memetic Computing, 2022.

Optimally weighted ensembles for efficient multi-objective optimization

Published in International Conference on Machine Learning, Optimization, and Data Science. Springer, 2022

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Recommended citation: Gideon Hanse, Roy Winter, Bas Stein, Thomas B{\"a}ck, "Optimally weighted ensembles for efficient multi-objective optimization." International Conference on Machine Learning, Optimization, and Data Science. Springer, 2022.

Analysis of structural bias in differential evolution configurations

Published in Differential Evolution: From Theory to Practice, 2022

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Recommended citation: Diederick Vermetten, Bas Stein, Anna Kononova, Fabio Caraffini, "Analysis of structural bias in differential evolution configurations." Differential Evolution: From Theory to Practice, 2022.

Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images

Published in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021

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Recommended citation: Koen Ponse, Anna Kononova, Maria Loleyt, Bas Van, "Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images." 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021.

Exploiting generative models for performance predictions of 3D car designs

Published in 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021

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Recommended citation: Sneha Saha, Thiago Rios, Leandro Minku, Bas Stein, Patricia Wollstadt, Xin Yao, Thomas Back, Bernhard Sendhoff, Stefan Menzel, "Exploiting generative models for performance predictions of 3D car designs." 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 2021.

Point2FFD: learning shape representations of simulation-ready 3D models for engineering design optimization

Published in 2021 International Conference on 3D Vision (3DV), 2021

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Recommended citation: Thiago Rios, Bas Van, Thomas B{\"a}ck, Bernhard Sendhoff, Stefan Menzel, "Point2FFD: learning shape representations of simulation-ready 3D models for engineering design optimization." 2021 International Conference on 3D Vision (3DV), 2021.

Emergence of structural bias in differential evolution

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021

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Recommended citation: Bas Stein, Fabio Caraffini, Anna Kononova, "Emergence of structural bias in differential evolution." Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2021.

Exploiting local geometric features in vehicle design optimization with 3D point cloud autoencoders

Published in 2021 IEEE Congress on Evolutionary Computation (CEC), 2021

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Recommended citation: Thiago Rios, Bas Stein, Patricia Wollstadt, Thomas B{\"a}ck, Bernhard Sendhoff, Stefan Menzel, "Exploiting local geometric features in vehicle design optimization with 3D point cloud autoencoders." 2021 IEEE Congress on Evolutionary Computation (CEC), 2021.

Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation

Published in IEEE Transactions on Evolutionary Computation, 2021

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Recommended citation: Thiago Rios, Bas Stein, Thomas B{\"a}ck, Bernhard Sendhoff, Stefan Menzel, "Multitask Shape Optimization Using a 3-D Point Cloud Autoencoder as Unified Representation." IEEE Transactions on Evolutionary Computation, 2021.

Requirements towards optimizing analytics in industrial processes

Published in Procedia Computer Science, 2021

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Recommended citation: Alexander Zeiser, Bas Stein, Thomas B{\"a}ck, "Requirements towards optimizing analytics in industrial processes." Procedia Computer Science, 2021.

Samo-cobra: A fast surrogate assisted constrained multi-objective optimization algorithm

Published in Evolutionary Multi-Criterion Optimization: 11th International Conference, EMO 2021, Shenzhen, China, March 28--31, 2021, Proceedings 11, 2021

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Recommended citation: Roy Winter, Bas Stein, Thomas B{\"a}ck, "Samo-cobra: A fast surrogate assisted constrained multi-objective optimization algorithm." Evolutionary Multi-Criterion Optimization: 11th International Conference, EMO 2021, Shenzhen, China, March 28--31, 2021, Proceedings 11, 2021.

Ship design performance and cost optimization with machine learning

Published in COMPIT'21, 2021

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Recommended citation: R Winter, B Stein, THW B{\"a}ck, V Bertram, "Ship design performance and cost optimization with machine learning." COMPIT'21, 2021.

Neural network design: learning from neural architecture search

Published in 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020

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Recommended citation: Bas Stein, Hao Wang, Thomas B{\"a}ck, "Neural network design: learning from neural architecture search." 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020.

Back to meshes: Optimal simulation-ready mesh prototypes for autoencoder-based 3D car point clouds

Published in 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020

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Recommended citation: Thiago Rios, Jiawen Kong, Bas Stein, Thomas B{\"a}ck, Patricia Wollstadt, Bernhard Sendhoff, Stefan Menzel, "Back to meshes: Optimal simulation-ready mesh prototypes for autoencoder-based 3D car point clouds." 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020.

A tailored NSGA-III for multi-objective flexible job shop scheduling

Published in 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020

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Recommended citation: Yali Wang, Bas Stein, Thomas B{\"a}ck, Michael Emmerich, "A tailored NSGA-III for multi-objective flexible job shop scheduling." 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020.

Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search

Published in Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020

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Recommended citation: Yali Wang, Bas Stein, Thomas B{\"a}ck, Michael Emmerich, "Improving NSGA-III for flexible job shop scheduling using automatic configuration, smart initialization and local search." Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion, 2020.

Feature visualization for 3D point cloud autoencoders

Published in 2020 International Joint Conference on Neural Networks (IJCNN), 2020

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Recommended citation: Thiago Rios, Bas Stein, Stefan Menzel, Thomas Back, Bernhard Sendhoff, Patricia Wollstadt, "Feature visualization for 3D point cloud autoencoders." 2020 International Joint Conference on Neural Networks (IJCNN), 2020.

Scalability of learning tasks on 3D CAE models using point cloud autoencoders

Published in 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019

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Recommended citation: Thiago Rios, Patricia Wollstadt, Bas Stein, Thomas B{\"a}ck, Zhao Xu, Bernhard Sendhoff, Stefan Menzel, "Scalability of learning tasks on 3D CAE models using point cloud autoencoders." 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019.

On the efficiency of a point cloud autoencoder as a geometric representation for shape optimization

Published in 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019

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Recommended citation: Thiago Rios, Bernhard Sendhoff, Stefan Menzel, Thomas B{\"a}ck, Bas Stein, "On the efficiency of a point cloud autoencoder as a geometric representation for shape optimization." 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019.

A new approach towards the combined algorithm selection and hyper-parameter optimization problem

Published in 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019

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Recommended citation: Xin Guo, Bas Stein, Thomas B{\"a}ck, "A new approach towards the combined algorithm selection and hyper-parameter optimization problem." 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 2019.

Cluster-based Kriging approximation algorithms for complexity reduction

Published in Applied Intelligence, 2019

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Recommended citation: Bas Van, Hao Wang, Wojtek Kowalczyk, Michael Emmerich, Thomas B{\"a}ck, "Cluster-based Kriging approximation algorithms for complexity reduction." Applied Intelligence, 2020.

Automatic configuration of deep neural networks with parallel efficient global optimization

Published in 2019 International Joint Conference on Neural Networks (IJCNN), 2019

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Recommended citation: Bas Stein, Hao Wang, Thomas B{\"a}ck, "Automatic configuration of deep neural networks with parallel efficient global optimization." 2019 International Joint Conference on Neural Networks (IJCNN), 2019.

Designing ships using constrained multi-objective efficient global optimization

Published in Machine Learning, Optimization, and Data Science: 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers 4, 2019

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Recommended citation: Roy Winter, Bas Stein, Matthys Dijkman, Thomas B{\"a}ck, "Designing ships using constrained multi-objective efficient global optimization." Machine Learning, Optimization, and Data Science: 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers 4, 2019.

A novel uncertainty quantification method for efficient global optimization

Published in Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications: 17th International Conference, IPMU 2018, C'adiz, Spain, June 11-15, 2018, Proceedings, Part III 17, 2018

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Recommended citation: Bas Stein, Hao Wang, Wojtek Kowalczyk, Thomas B{\"a}ck, "A novel uncertainty quantification method for efficient global optimization." Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications: 17th International Conference, IPMU 2018, C'adiz, Spain, June 11-15, 2018, Proceedings, Part III 17, 2018.

A new acquisition function for Bayesian optimization based on the moment-generating function

Published in 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017

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Recommended citation: Hao Wang, Bas Stein, Michael Emmerich, Thomas Back, "A new acquisition function for Bayesian optimization based on the moment-generating function." 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2017.

A multi-method simulation of a high-frequency bus line

Published in 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017

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Recommended citation: Thierry Spek, Bas Stein, Marcel Holst, Thomas B{\"a}ck, "A multi-method simulation of a high-frequency bus line." 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC), 2017.

Time complexity reduction in efficient global optimization using cluster kriging

Published in Proceedings of the Genetic and Evolutionary Computation Conference, 2017

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Recommended citation: Hao Wang, Bas Stein, Michael Emmerich, Thomas B{\"a}ck, "Time complexity reduction in efficient global optimization using cluster kriging." Proceedings of the Genetic and Evolutionary Computation Conference, 2017.

Algorithm configuration data mining for cma evolution strategies

Published in Proceedings of the Genetic and Evolutionary Computation Conference, 2017

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Recommended citation: Sander Rijn, Hao Wang, Bas Stein, Thomas B{\"a}ck, "Algorithm configuration data mining for cma evolution strategies." Proceedings of the Genetic and Evolutionary Computation Conference, 2017.

Towards data driven process control in manufacturing car body parts

Published in 2016 International Conference on Computational Science and Computational Intelligence (CSCI), 2016

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Recommended citation: Bas Van, Matthijs Van, Hao Wang, Stephan Purr, Sebastian Kreissl, Josef Meinhardt, Thomas B{\"a}ck, "Towards data driven process control in manufacturing car body parts." 2016 International Conference on Computational Science and Computational Intelligence (CSCI), 2016.

Local subspace-based outlier detection using global neighbourhoods

Published in 2016 IEEE International Conference on Big Data (Big Data), 2016

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Recommended citation: Bas Van, Matthijs Van, Thomas B{\"a}ck, "Local subspace-based outlier detection using global neighbourhoods." 2016 IEEE International Conference on Big Data (Big Data), 2016.

A framework for evaluating meta-models for simulation-based optimisation

Published in 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016

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Recommended citation: Pepijn Van, Bas Stein, Thomas B{\"a}ck, "A framework for evaluating meta-models for simulation-based optimisation." 2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016.

Fuzzy clustering for optimally weighted cluster kriging

Published in 2016 IEEE international conference on fuzzy systems (FUZZ-IEEE), 2016

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Recommended citation: Bas Stein, Hao Wang, Wojtek Kowalczyk, Michael Emmerich, Thomas B{\"a}ck, "Fuzzy clustering for optimally weighted cluster kriging." 2016 IEEE international conference on fuzzy systems (FUZZ-IEEE), 2016.

Analysis and visualization of missing value patterns

Published in Information Processing and Management of Uncertainty in Knowledge-Based Systems: 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part II 16, 2016

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Recommended citation: Bas Stein, Wojtek Kowalczyk, Thomas B{\"a}ck, "Analysis and visualization of missing value patterns." Information Processing and Management of Uncertainty in Knowledge-Based Systems: 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part II 16, 2016.

An incremental algorithm for repairing training sets with missing values

Published in Information Processing and Management of Uncertainty in Knowledge-Based Systems: 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part II 16, 2016

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Recommended citation: Bas Van, Wojtek Kowalczyk, "An incremental algorithm for repairing training sets with missing values." Information Processing and Management of Uncertainty in Knowledge-Based Systems: 16th International Conference, IPMU 2016, Eindhoven, The Netherlands, June 20-24, 2016, Proceedings, Part II 16, 2016.

Optimally weighted cluster kriging for big data regression

Published in Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22-24, 2015. Proceedings, 2015

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Recommended citation: Bas Stein, Hao Wang, Wojtek Kowalczyk, Thomas B{\"a}ck, Michael Emmerich, "Optimally weighted cluster kriging for big data regression." Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA 2015, Saint Etienne. France, October 22-24, 2015. Proceedings, 2015.

Fitness landscape analysis of nk landscapes and vehicle routing problems by expanded barrier trees

Published in EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV: International Conference held at Leiden University, July 10-13, 2013, 2013

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Recommended citation: Bas Van, Michael Emmerich, Zhiwei Yang, "Fitness landscape analysis of nk landscapes and vehicle routing problems by expanded barrier trees." EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation IV: International Conference held at Leiden University, July 10-13, 2013, 2013.