The Univariate Marginal Distribution Algorithm Copes Well with Deception and Epistasis.
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- Evolutionary Computation, 2021, v. 29, n. 4, p. 543, doi. 10.1162/evco_a_00293
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- Article
Works matching IS 10636560 AND DT 2021 AND VI 29 AND IP 4
Results: 5
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Environmental Adaptation of Robot Morphology and Control Through Real-World Evolution.
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- Evolutionary Computation, 2021, v. 29, n. 4, p. 441, doi. 10.1162/evco_a_00291
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- Publication type:
- Article
3
Maximizing Drift Is Not Optimal for Solving OneMax.
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- Evolutionary Computation, 2021, v. 29, n. 4, p. 521, doi. 10.1162/evco_a_00290
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- Article
4
A Self-Adaptive Response Strategy for Dynamic Multiobjective Evolutionary Optimization Based on Objective Space Decomposition.
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- Evolutionary Computation, 2021, v. 29, n. 4, p. 491, doi. 10.1162/evco_a_00289
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- Article
5
Multiobjective Evolutionary Algorithms Are Still Good: Maximizing Monotone Approximately Submodular Minus Modular Functions.
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- Evolutionary Computation, 2021, v. 29, n. 4, p. 463, doi. 10.1162/evco_a_00288
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- Publication type:
- Article