Subpopulation initialization driven by linkage learning for dealing with the long-way-to-stuck effect

DOI10.1016/j.ins.2020.02.027zbMath1458.68294OpenAlexW3006082504MaRDI QIDQ2663449

Michał Witold Przewoźniczek

Publication date: 19 April 2021

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

Full work available at URL: https://doi.org/10.1016/j.ins.2020.02.027

zbMATH Keywords

genetic algorithmsisland modelslinkage learningdynamic subpopulation number controllong-way-to-stuck effect

Mathematics Subject Classification ID

Evolutionary algorithms, genetic algorithms (computational aspects) (68W50) Approximation methods and heuristics in mathematical programming (90C59)

Related Items (1)

Initialization of metaheuristics: comprehensive review, critical analysis, and research directions

Cites Work

• Enhancing distributed differential evolution with multicultural migration for global numerical optimization
• Island models for cluster geometry optimization: how design options impact effectiveness and diversity
• Large scale evolutionary optimization using cooperative coevolution
• The flow deviation method: An approach to store‐and‐forward communication network design

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