A population ecology inspired parent selection strategy for numerical constrained optimization problems

DOI10.1016/J.AMC.2007.01.027zbMath1122.65365OpenAlexW2084473442MaRDI QIDQ2383755

Jun Jo, Jonghwan (Simon) Kim, Ming Yuchi

Publication date: 19 September 2007

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2007.01.027

zbMATH Keywords

constrained optimizationnumerical examplesevolutionary algorithmconstrained optimization problemsPopulation ecologyparent selectionannealing penalty methoddynamic penalty methodstochastic ranking method

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Stochastic programming (90C15)

Cites Work

• Unnamed Item
• Evolution strategies. A comprehensive introduction
• Evolutionary algorithm using feasibility-based grouping for numerical constrained optimization problems

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