エリート個体部分解による局所探索を導入したCVT-MAP-Elites

抄録

CVT-MAP-Elites is a method of evolutionary computation that maintains diversity and searches for solutions in the feature space by maintaining the optimal solution in the segmented feature space, but there is a problem of ensuring a sufficient number of searches for local search. In this paper, we propose a local search method by transcribing partial solutions of elite individuals and report the results of applying it to multi-tasks optimization problems.