D.: R2-EMOA: focused multiobjective search using R2-indicator-based selection

Abstract. An indicator-based evolutionary multiobjective optimization algorithm (EMOA) is introduced which incorporates the contribution to the unary R2-indicator as the secondary selection criterion. First exper-iments indicate that the R2-EMOA accurately approximates the Pareto front of the considered continuous multiobjective optimization problems. Furthermore, decision makers ’ preferences can be included by adjusting the weight vector distributions of the indicator which results in a focused search behavior