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.
Published in arXiv preprint arXiv:2505.06030, 2025
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Recommended citation: Tobias Preintner, Weixuan Yuan, Qi Huang, Adrian K{\"o}nig, Thomas B{\"a}ck, Elena Raponi, Niki Stein, "Why Are You Wrong? Counterfactual Explanations for Language Grounding with 3D Objects." arXiv preprint arXiv:2505.06030, 2025.
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.
Published in arXiv preprint arXiv:2505.10543, 2025
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Recommended citation: Annie Wong, Thomas B{\"a}ck, Aske Plaat, Niki Stein, Anna Kononova, "Towards a Deeper Understanding of Reasoning Capabilities in Large Language Models." arXiv preprint arXiv:2505.10543, 2025.
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.
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.
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.
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.
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.
Published in arXiv preprint arXiv:2510.18328, 2025
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Recommended citation: Zhong Li, Qi Huang, Yuxuan Zhu, Lincen Yang, Mohammad Amiri, Niki Stein, Matthijs Leeuwen, "Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching." arXiv preprint arXiv:2510.18328, 2025.
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.
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.
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.
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.
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.
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.
Published in arXiv preprint arXiv:2505.21034, 2025
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Recommended citation: Wenhu Li, Niki Stein, Thomas B{\"a}ck, Elena Raponi, "LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms." arXiv preprint arXiv:2505.21034, 2025.
Published in arXiv preprint arXiv:2507.22928, 2025
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Recommended citation: Xi Chen, Aske Plaat, Niki Stein, "How does chain of thought think? mechanistic interpretability of chain-of-thought reasoning with sparse autoencoding." arXiv preprint arXiv:2507.22928, 2025.
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.
Published in arXiv preprint arXiv:2511.16201, 2025
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Recommended citation: Niki Stein, Anna Kononova, Thomas B{\"a}ck, "From Performance to Understanding: A Vision for Explainable Automated Algorithm Design." arXiv preprint arXiv:2511.16201, 2025.
Published in ACM Transactions on Evolutionary Learning, 2025
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Recommended citation: Niki Stein, Diederick Vermetten, Anna V., Thomas B{\"a}ck, "Explainable benchmarking for iterative optimization heuristics." ACM Transactions on Evolutionary Learning, 2025.
Published in arXiv preprint arXiv:2505.15741, 2025
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Recommended citation: Dikshit Chauhan, Bapi Dutta, Indu Bala, Niki Stein, Thomas B{\"a}ck, Anupam Yadav, "Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications." arXiv preprint arXiv:2505.15741, 2025.
Published in arXiv preprint arXiv:2510.11631, 2025
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Recommended citation: Tobias Preintner, Weixuan Yuan, Adrian K{\"o}nig, Thomas B{\"a}ck, Elena Raponi, Niki Stein, "EvoCAD: Evolutionary CAD Code Generation with Vision Language Models." arXiv preprint arXiv:2510.11631, 2025.
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 Stein, Thomas B{\"a}ck, Matthijs Leeuwen, "Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions." arXiv preprint arXiv:2502.17119, 2025.
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.
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.
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.
Published in arXiv preprint arXiv:2511.12264, 2025
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Recommended citation: Anna Kononova, Niki Stein, Olaf Mersmann, Thomas B{\"a}ck, Thomas Bartz-Beielstein, Tobias Glasmachers, Michael Hellwig, Sebastian Krey, Jakub K{\uu}dela, Boris Naujoks, "Benchmarking that Matters: Rethinking Benchmarking for Practical Impact." arXiv preprint arXiv:2511.12264, 2025.
Published in arXiv preprint arXiv:2507.03605, 2025
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Recommended citation: Niki Stein, Haoran Yin, Anna Kononova, Thomas B{\"a}ck, Gabriela Ochoa, "Behaviour space analysis of llm-driven meta-heuristic discovery." arXiv preprint arXiv:2507.03605, 2025.
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.
Published in arXiv preprint arXiv:2510.17899, 2025
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Recommended citation: Floris-Jan Willemsen, Niki Stein, Ben Werkhoven, "Automated Algorithm Design for Auto-Tuning Optimizers." arXiv preprint arXiv:2510.17899, 2025.
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.
Published in arXiv preprint arXiv:2503.23037, 2025
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Recommended citation: Aske Plaat, Max Duijn, Niki Stein, Mike Preuss, Peter Putten, Kees Batenburg, "Agentic large language models, a survey." arXiv preprint arXiv:2503.23037, 2025.
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.
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.
Published in 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." arXiv preprint arXiv:2402.01343, 2024.
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.
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.
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.
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.
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.
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.
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.
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.
Published in ACM Transactions on Evolutionary Learning, 2024
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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, 2024.
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.
Published in arXiv preprint arXiv:2405.10271, 2024
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Recommended citation: Christian Intern{\`o}, Elena Raponi, Niki Stein, Thomas B{\"a}ck, Markus Olhofer, Yaochu Jin, Barbara Hammer, "Federated Hybrid Model Pruning through Loss Landscape Exploration." arXiv preprint arXiv:2405.10271, 2024.
Published in arXiv preprint arXiv:2401.17842, 2024
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Recommended citation: Niki Stein, Diederick Vermetten, Anna Kononova, Thomas B{\"a}ck, "Explainable benchmarking for iterative optimization heuristics (2024)." arXiv preprint arXiv:2401.17842, 2024.
Published in Preprint on arXiv preprint arXiv:2401.17842, 2024
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Recommended citation: Niki Stein, Diederick Vermetten, Anna Kononova, Thomas B{\"a}ck, "Explainable Benchmarking for Iterative Optimization Heuristics." Preprint on arXiv preprint arXiv:2401.17842, 2024.
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.
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.
Published in arXiv preprint arXiv:2411.02056, 2024
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Recommended citation: Marijn Siemonsa, Martijn Veen, Irina Malysheva, Johannes Algera, Stefan Philippi, Kirill Antonov, Niki Stein, J{\'e}r{\^o}me Loicq, Nandini Bhattacharya, Ren{\'e} Berlich, "Development of a photonic crystal spectrometer for greenhouse gas measurements." arXiv preprint arXiv:2411.02056, 2024.
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.
Published in ArXiv, vol. abs/2405.10271, 2024
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Recommended citation: Christian Intern{\`o}, Elena Raponi, Niki Stein, Thomas B{\"a}ck, Markus Olhofer, Yaochu Jin, Barbara Hammer, "Automated Federated Learning via Informed Pruning." ArXiv, vol. abs/2405.10271, 2024.
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.
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.
Published in arXiv preprint arXiv:2406.06629, 2024
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Recommended citation: Gjorgjina Cenikj, Ana Nikolikj, Ga{\v{s}}per Petelin, Niki Stein, Carola Doerr, Tome Eftimov, "A survey of meta-features used for automated selection of algorithms for black-box single-objective continuous optimization." arXiv preprint arXiv:2406.06629, 2024.
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.
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.
Published in Preprint on arXiv preprint arXiv:2402.06299, 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." Preprint on arXiv preprint arXiv:2402.06299, 2024.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Published in International Conference on Machine Learning, Optimization, and Data Science. Springer, 2021
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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, 2021.
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.
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.
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.
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.
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.
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.
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.
Published in Applied Intelligence, 2020
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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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.