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The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond.

, , , , and . Evol. Comput., 32 (1): 3-48 (2024)

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Evolutionary Algorithms for Parameter Optimization - Thirty Years Later., , , , , , , , , and . Evol. Comput., 31 (2): 81-122 (Summer 2023)BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain., , , , and . IEEE Trans. Evol. Comput., 26 (6): 1380-1393 (2022)Can Compact Optimisation Algorithms Be Structurally Biased?, , , and . PPSN (1), volume 12269 of Lecture Notes in Computer Science, page 229-242. Springer, (2020)Solving Deep Reinforcement Learning Benchmarks with Linear Policy Networks., , , , and . CoRR, (2024)Fitness Diversity Based Adaptive Memetic Algorithm for solving inverse problems of chemical kinetics., , , and . IEEE Congress on Evolutionary Computation, page 2366-2373. IEEE, (2007)Engineering Fitness Inheritance and Co-operative Evolution Into State-of-the-Art Optimizers., , and . SSCI, page 1695-1702. IEEE, (2015)Structural bias in population-based algorithms., , , , and . Inf. Sci., (2015)Deep multiagent reinforcement learning: challenges and directions., , , and . Artif. Intell. Rev., 56 (6): 5023-5056 (June 2023)Optimizing CMA-ES with CMA-ES., , , and . IJCCI, page 214-221. SCITEPRESS, (2023)Using Machine Learning to Detect Rotational Symmetries from Reflectional Symmetries in 2D Images., , , and . CoRR, (2022)