A Thorough Documentation of Obtained Results on Real-Valued Continious and Combinatorial Multi-Objective Optimization Problems Using Diversity Preserving Mixture-Based Iterated Density Estimation Evolutionary Algorithms
Peter A. N. Bosman, Dirk Thierens · Utrecht University Repository (Utrecht University) · 2002
In this paper, we present the results of performing experiments with three different multiobjective evolutionary algorithms (MOEAs) on eight different optimization problems.As such, this paper is only an extension of an earlier publication in which one of the three MOEAs is introduced [1].Although the experiments and the obtained results have already been reported in the earlier publication, not all information could be reported due to space limitations.In this paper, we present even more information about the experiments that were performed.