Techniques for Maintaining Population Diversity in Classical and Agent-Based Multi-objective Evolutionary Algorithms

Abstract

The loss of population diversity is one of the main problems in some applications of evolutionary algorithms. In order to maintain useful population diversity some special techniques must be used, like niching or co-evolutionary mechanisms. In this paper the mechanisms for maintaining population diversity in agent-based multi-objective (co-)evolutionary algorithms are proposed. The presentation of techniques is accompanied by the results of experiments and comparisons to classical evolutionary multi-objective algorithms.