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Volume 29, Issue 4
Winter 2021
Evolutionary Computation Cover Image for Volume 29, Issue 4
All Issues
ISSN 1063-6560
EISSN 1530-9304
In this Issue

Articles

Environmental Adaptation of Robot Morphology and Control Through Real-World Evolution
T. F. Nygaard, C. P. Martin, D. Howard, J. Torresen, K. Glette
Evolutionary Computation (2021) 29 (4): 441–461.
View articletitled, Environmental Adaptation of Robot Morphology and Control Through Real-World Evolution
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Multiobjective Evolutionary Algorithms Are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions
Chao Qian
Evolutionary Computation (2021) 29 (4): 463–490.
View articletitled, Multiobjective Evolutionary Algorithms Are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions
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A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition
Ruochen Liu, Jianxia Li, Yaochu Jin, Licheng Jiao
Evolutionary Computation (2021) 29 (4): 491–519.
View articletitled, A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition
Supplementary data
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Maximizing Drift Is Not Optimal for Solving OneMax
Nathan Buskulic, Carola Doerr
Evolutionary Computation (2021) 29 (4): 521–541.
View articletitled, Maximizing Drift Is Not Optimal for Solving OneMax
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The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis
Benjamin Doerr, Martin S. Krejca
Evolutionary Computation (2021) 29 (4): 543–563.
View articletitled, The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis
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