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: | Conference or Workshop Item |
| Published: |
2011
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| Online Access: | http://eprints.utm.my/id/eprint/46135/ |
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