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Evolutionary Computation, Volume 33

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Volume 33, Number 1, 2025

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Jun He, Yuren Zhou:
Drift Analysis with Fitness Levels for Elitist Evolutionary Algorithms. 1-25
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Marc Kaufmann, Maxime Larcher, Johannes Lengler, Xun Zou:
OneMax Is Not the Easiest Function for Fitness Improvements. 27-54
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Alejandro Marrero, Eduardo Segredo, Coromoto León, Emma Hart:
Synthesising Diverse and Discriminatory Sets of Instances Using Novelty Search in Combinatorial Domains. 55-90
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Federico Pigozzi, Laura Nenzi, Eric Medvet:
BUSTLE: A Versatile Tool for the Evolutionary Learning of STL Specifications from Data. 91-114
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Isidro M. Alvarez, Trung B. Nguyen, Will N. Browne, Mengjie Zhang:
A Layered Learning Approach to Scaling in Learning Classifier Systems for Boolean Problems. 115-140

Volume 33, Number 2, 2025

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Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto:
Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm. 141-189
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Frank Neumann, Carsten Witt:
Runtime Analysis of Single- and Multiobjective Evolutionary Algorithms for Chance-Constrained Optimization Problems with Normally Distributed Random Variables. 191-214
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Bach Hoai Nguyen, Bing Xue, Mengjie Zhang:
Evolutionary Sparsity Regularisation-Based Feature Selection for Binary Classification. 215-248
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Zbynek Pitra, Jan Koza, Jirí Tumpach, Martin Holena:
Landscape Analysis for Surrogate Models in the Evolutionary Black-Box Context. 249-277
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Nicolas Roy, Charlotte Beauthier, Alexandre Mayer:
Hyperparameter Control Using Fuzzy Logic: Evolving Policies for Adaptive Fuzzy Particle Swarm Optimization Algorithm. 279-308

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