Analysis of fitness landscape modifications in evolutionary dynamic optimization

DOI10.1016/J.INS.2014.05.053zbMath1355.90111OpenAlexW1967697232MaRDI QIDQ507753

Renato Tinós, Shengxiang Yang

Publication date: 7 February 2017

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2014.05.053

zbMATH Keywords

benchmark problem generatorevolutionary dynamic optimizationtheory of evolutionary algorithm

Mathematics Subject Classification ID

Approximation methods and heuristics in mathematical programming (90C59)

Cites Work

• Evolutionary computation for dynamic optimization problems
• Designing evolutionary algorithms for dynamic environments.
• Experimental study on population-based incremental learning algorithms for dynamic optimization problems
• Genetic algorithms: Principles and perpectives. A guide to GA theory
• Metaheuristics for dynamic combinatorial optimization problems
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