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Performance evaluation of self organizing genetic algorithm for multi-objective optimization problems

Self Organizing Genetic Algorithm (SOGA) uses a weighted-sum fitness assignment approach for solving multi-objective optimization problems. SOGA has been developed based on minimum genetic algorithm (GA) requirement that is easier to implement and customized to other multi-objective problems. This p...

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書目詳細資料
Main Authors:	Ismail, Fatimah Sham, Yusof, Rubiyah, Khalid, Marzuki, Ibrahim, Zuwairie, Selamat, Hazlina
格式:	Article
出版:	ICIC International 2012
主題:	TK Electrical engineering. Electronics Nuclear engineering
在線閱讀:	http://eprints.utm.my/id/eprint/31135/ http://www.ijicic.org/el-6(1).htm
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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