Enhanced Micro Genetic Algorithm-Based Models For Multi-Objective Optimization
Multi-objective Optimization Problems (MOPs) entail multiple conflicting objectives to be satisfied simultaneously. As such, a set of alternative solutions that is able to satisfy all objectives with respect to the Pareto optimality principle is desired. Besides that, the quality of good MOP solu...
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| Format: | Thesis |
| Language: | English |
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2014
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| Online Access: | http://eprints.usm.my/29006/1/ENHANCED_MICRO_GENETIC_ALGORITHM-BASED_MODELS_FOR_MULTI-OBJECTIVE_OPTIMIZATION.pdf |