Mixed-Integer Constrained Optimization Based on Memetic Algorithm

Evolutionary algorithms (EAs) are population-based global search methods. They have been successfully applied to many complex optimization problems. However, EAs are frequently incapable of finding a convergence solution in default of local search mechanisms. Memetic Algorithms (MAs) are hybrid EAs...

詳細記述

書誌詳細

出版年:	Journal of Applied Research and Technology
第一著者:	Y. C. Lin
フォーマット:	Artigo
言語:	Inglês
出版事項:	Universidad Nacional Autónoma de México 2013
主題:	Ingeniería
オンライン･アクセス:	https://www.redalyc.org/articulo.oa?id=47426225008
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