Niching and elitist models for MOGAs
This paper examines several niching and elitist models applied to Multiple-Objective Genetic Algorithms (MOGAs). Test cases consider a simple problem as well as multidisciplinary design optimization of wing planform shape. Numerical results suggest that the combination of the fitness sharing and the best-N selection leads to the best performance.
KeywordsGenetic Algorithm Pareto Front Pareto Solution Multidisciplinary Design Optimization Transonic Flow
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