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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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
ICIC International
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/31135/ http://www.ijicic.org/el-6(1).htm |
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