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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Bibliographic Details

Published in:	2008 International Conference on Machine Learning and Cybernetics Vol. 2; pp. 869 - 873
Main Authors:	Ming-Song Li, Pu-Hua Zeng, Ruo-Wu Zhong, Hui-Ping Wang, Fen-Fen Zhang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2008
Subjects:	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
Online Access:	Get full text
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