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Bäck, Thomas

  1. LLaMEA: A Large Language Model Evolutionary Algorithm for Automatically Generating Metaheuristics
    2024/05/30 by Bas van Stein, van Stein, Niki, Thomas Bäck +1 · 21 citations
    Computer Science · #Software Engineering Techniques and Practices #Software Engineering Research #Advanced Software Engineering Methodologies
  2. Equivariant quantum circuits for learning on weighted graphs
    2022/05/12 by Andrea Skolik, Skolik, Andrea, Michele Cattelan +7 · 10 citations
    Computer Science · Physics and Astronomy · #Quantum Computing Algorithms and Architecture #Quantum and electron transport phenomena #Quantum Information and Cryptography
  3. Deep Multiagent Reinforcement Learning: Challenges and Directions
    2021/06/29 by Annie Wong, Thomas Bäck, Wong, Annie +5 · 7 citations
    Computer Science · Social Sciences · #A.1 #Artificial Intelligence (cs.AI) #Evolutionary Game Theory and Cooperation #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #I.2.6 #I.2.8 #J.4 #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Neural and Evolutionary Computing (cs.NE) #Reinforcement Learning in Robotics
  4. IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics
    2018/10/11 by Carola Doerr, Doerr, Carola, Hao Wang +7 · 5 citations
    Computer Science · Decision Sciences · #Embedded Systems Design Techniques #FOS: Computer and information sciences #Formal Methods in Verification #Neural and Evolutionary Computing (cs.NE) #Simulation Techniques and Applications
  5. IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics
    2020/07/08 by Hao Wang, Wang, Hao, Diederick Vermetten +7 · 5 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE)
  6. Learning adaptive differential evolution algorithm from optimization experiences by policy gradient
    2021/02/06 by Sun, Jianyong, Liu, Xin, Bäck, Thomas +1 · 4 citations
    #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  7. Efficient Computation of Expected Hypervolume Improvement Using Box Decomposition Algorithms
    2019/04/26 by Kaifeng Yang, Michael Emmerich, Yang, Kaifeng +5 · 3 citations
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimal Experimental Design Methods #Probabilistic and Robust Engineering Design
  8. Robustness of quantum reinforcement learning under hardware errors
    2022/12/19 by Andrea Skolik, Skolik, Andrea, Stefano Mangini +7 · 4 citations
    Computer Science · #Quantum Computing Algorithms and Architecture #Neural Networks and Reservoir Computing #Quantum Information and Cryptography
  9. In-the-loop Hyper-Parameter Optimization for LLM-Based Automated Design of Heuristics
    2024/10/07 by Niki van Stein, Diederick Vermetten, van Stein, Niki +3 · 7 citations
    Decision Sciences · Engineering · #Advanced Control Systems Optimization #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Real-time simulation and control systems #Simulation Techniques and Applications
  10. Large-scale Benchmarking of Metaphor-based Optimization Heuristics
    2024/02/15 by Vermetten, Diederick, Doerr, Carola, Wang, Hao +2 · 3 citations
    #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  11. MA-BBOB: A Problem Generator for Black-Box Optimization Using Affine Combinations and Shifts
    2023/12/18 by Diederick Vermetten, Furong Ye, Vermetten, Diederick +5 · 2 citations
    Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Metaheuristic Optimization Algorithms Research #Neural and Evolutionary Computing (cs.NE) #Process Optimization and Integration
  12. Comparative Analysis of Indicators for Multiobjective Diversity Optimization
    2024/10/24 by Ksenia Pereverdieva, André Deutz, Pereverdieva, Ksenia +9 · 2 citations
    Business, Management and Accounting · Decision Sciences · #Efficiency Analysis Using DEA #Environmental Sustainability in Business #FOS: Computer and information sciences #FOS: Mathematics #I.2.8 #Innovation Diffusion and Forecasting #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)
  13. Diffusion and Flow Matching Models for Tabular Data: A Survey
    2025/02/24 by Zhong Li, Li, Zhong, Qi Huang +12 · 3 citations
    Computer Science · #Data Management and Algorithms #Advanced Database Systems and Queries
  14. Quantum-Enhanced Selection Operators for Evolutionary Algorithms
    2022/06/21 by Von Dollen, David, Yarkoni, Sheir, Weimer, Daniel +2 · 1 citation
    #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Quantum Physics (quant-ph)
  15. NeuroNURBS: Learning Efficient Surface Representations for 3D Solids
    2024/11/16 by Fan, Jiajie, Gholami, Babak, Bäck, Thomas +1 · 2 citations
    #Computational Engineering #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Finance #and Science (cs.CE)
  16. Tuning as a Means of Assessing the Benefits of New Ideas in Interplay with Existing Algorithmic Modules
    2021/02/25 by de Nobel, Jacob, Vermetten, Diederick, Wang, Hao +2 · 1 citation
    #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  17. DoE2Vec: Deep-learning Based Features for Exploratory Landscape Analysis
    2023/03/31 by van Stein, Bas, Long, Fu Xing, Frenzel, Moritz +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)
  18. When to be Discrete: Analyzing Algorithm Performance on Discretized Continuous Problems
    2023/04/25 by Thomaser, André, de Nobel, Jacob, Vermetten, Diederick +3 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)
  19. IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics
    2021/11/07 by de Nobel, Jacob, Ye, Furong, Vermetten, Diederick +3 · 1 citation
    #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  20. Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification
    2024/02/02 by Huang, Qi, Chen, Wei, Bäck, Thomas +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks
    2024/02/10 by Wong, Annie, de Nobel, Jacob, Bäck, Thomas +2 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. A Functional Analysis Approach to Symbolic Regression
    2024/02/09 by Antonov, Kirill, Kalkreuth, Roman, Yang, Kaifeng +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE)
  23. Code Evolution Graphs: Understanding Large Language Model Driven Design of Algorithms
    2025/03/20 by Bas van Stein, van Stein, Niki, Anna V. Kononova +5 · 2 citations
    Computer Science · Materials Science · #Natural Language Processing Techniques #Topic Modeling #Machine Learning in Materials Science
  24. Landscape-Aware Automated Algorithm Configuration using Multi-output Mixed Regression and Classification
    2024/09/02 by Fu Xing Long, Moritz Frenzel, Long, Fu Xing +9 · 1 citation
    Computer Science · #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
  25. TX-Gen: Multi-Objective Optimization for Sparse Counterfactual Explanations for Time-Series Classification
    2024/09/14 by Huang, Qi, Kitharidis, Sofoklis, Bäck, Thomas +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  26. Log-normal Mutations and their Use in Detecting Surreptitious Fake Images
    2024/09/23 by Ismail Labiad, Labiad, Ismail, Thomas Bäck +9 · 1 citation
    Computer Science · #Advanced Malware Detection Techniques #Artificial Intelligence (cs.AI) #Digital Media Forensic Detection #FOS: Computer and information sciences
  27. BLADE: Benchmark suite for LLM-driven Automated Design and Evolution of iterative optimisation heuristics
    2025/04/28 by van Stein, Niki, Kononova, Anna V., Yin, Haoran +1 · 3 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Neural and Evolutionary Computing (cs.NE) #Software Engineering (cs.SE)
  28. Evolutionary Computation and Large Language Models: A Survey of Methods, Synergies, and Applications
    2025/05/21 by Chauhan, Dikshit, Dutta, Bapi, Bala, Indu +3 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.11 #I.2.7 #Multiagent Systems (cs.MA) #Neural and Evolutionary Computing (cs.NE)