NSGA WITH ELITISM APPLIED TO SOLVE MULTIOBJECTIVE OPTIMIZATION PROBLEMS
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by J. A. Vasconcelos, R. L. S. Adriano, D. A. G. Vieira, G. F. D. Souza, H. S. Azevedo
http://www.jeo.org/emo/vasconcelos02.pdf.gz
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Abstract:
In this paper the effects of elitism in the Nondominated Sorting Genetic Algorithm (NSGA) are analyzed. Three different kinds of elitism: standard, clustering and Parks & Miller techniques are investigated using two test problems. For the studied problems, the Parks & Miller mechanism generated the best results. Finally, the NSGA with Parks & Miller elitism was applied to determine the nondominated front for a storage magnetic energy system and the IEEE 30node system. Simulation results obtained suggest the effectiveness of this proposed approach to solve real world problems. I.
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