Multiobjective evolutionary algorithm based on pareto optimality and limited elitist
Yuping Wang · Computer Engineering and Applications Journal · 2007
In this paper,a Multi-Objective Evolutionary Algorithm based on Pareto optimality and Limited Elitist(LEMOEA) is proposed which is based on NSGA-II.It uses distribution function to limit the number of individuals chosen by elitist scheme,and a good diversity of solutions can be kept.Moreover,the single-compound crossover operator increases the extent and the ability of search.Experimental results show that LEMOEA has faster convergent speed and better diversity of solutions than NSGA-II.