ACM Transactions on Evolutionary Learning and Optimization

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Top Publications

• IOHanalyzer: Detailed Performance Analyses for Iterative Optimization Heuristics

  (2020)
  63 Citations

• Multi-Objective Hyperparameter Optimization in Machine Learning—An Overview

  (2023)
  37 Citations

• Combining Evolution and Deep Reinforcement Learning for Policy Search: A Survey

  (2022)
  36 Citations

• Reproducibility in Evolutionary Computation

  Manuel López-ibáñez;Juergen Branke;Luís Paquete

  (2021)
  28 Citations

• A Survey on Recent Progress in the Theory of Evolutionary Algorithms for Discrete Optimization

  (2021)
  25 Citations

• A Learning-based Innovized Progress Operator for Faster Convergence in Evolutionary Multi-objective Optimization

  (2021)
  20 Citations

• On Steady-State Evolutionary Algorithms and Selective Pressure: Why Inverse Rank-Based Allocation of Reproductive Trials Is Best

  (2021)
  20 Citations

• AutoML Loss Landscapes

  (2022)
  18 Citations

• Analysis of Evolutionary Diversity Optimization for Permutation Problems

  (2021)
  16 Citations

• A Comparison of Learning Classifier Systems’ Rule Compaction Algorithms for Knowledge Visualization

  Yi Liu;Will N. Browne;Bing Xue

  (2021)
  16 Citations