Adaptive Mutation Control in Panmictic And Spatially Distributed Multi-objective Evolutionary Algorithms

This paper addresses the problem of controlling mutation st reng h in multi-objective evolutionary algorithms. Adaptive param eter control is one major issue in the field of evolutionary computation, and several m ethods have been proposed and applied successfully for single objective opt imization problems. In this study we examine whether these results carry over to the multi-objective case and what kind of modifications must be taken to meet the difficu lties and pitfalls of conflicting objectives.