1Supplemental File of “Inter-Relationship Based Selection for Decomposition Multiobjective Optimization”

simple yet effective selection operator for the decomposition-based evolutionary multiobjective optimization. By considering the mutual-preferences between subproblems and solutions (i.e., the two requirements of each agent), the selection operator is able to balance the convergence and diversity of the search process. Comprehensive experiments are conducted on several MOP test instances with complicated Pareto sets. Empirical results demonstrate the effectiveness and competitiveness of our proposed algorithm. However, due to the page limit of IEEE Transactions on Cybernetics, several issues have not been well addressed in the paper. This supplemental file is a complement of the official paper