Mutation Control and Convergence in Evolutionary Multi-objective Optimization

This paper addresses the problem of controlling mutation strength in multi-objective evolutionary algorithms and its implications for the convergence to the Pareto set. Adaptive parameter control is one major issue in the field of evolutionary computation, and several methods have been proposed and applied successfully for single objective optimization problems. In this study we examine whether these results carry over to the multi-objective case and what modifications must be taken to meet the difficulties and pitfalls of conflicting objectives.