A complex-genetic algorithm for solving constrained optimization problems

Constrained optimization problems (COPs) are a kind of mathematic programming problem frequently encountered in the disciplines of science and engineering application. After analyzing weaknesses of existing constrained optimization evolutionary algorithms (COEAs), a novel improved algorithm called c...

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Vydané v:	2008 International Conference on Machine Learning and Cybernetics Ročník 2; s. 869 - 873
Hlavní autori:	Ming-Song Li, Pu-Hua Zeng, Ruo-Wu Zhong, Hui-Ping Wang, Fen-Fen Zhang
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.07.2008
Predmet:	Algorithm design and analysis Complex method Constrained optimization Distance measurement Genetic algorithm(GA) Genetic algorithms Genetics Machine learning Multi-objective optimization Optimization Optimization methods
ISBN:	1424420954, 9781424420957
ISSN:	2160-133X
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