Front-based yin-yang-pair optimization and its performance on CEC2009 benchmark problems

Abstract

The Front-based Yin-Yang-Pair Optimization (F-YYPO) is a novel meta-heuristic for multi-objective problems that works with multiple Yin-Yang pair of points to handle conflicting objectives and utilizes the non-dominance-based approach to sort points into fronts. The performance of F-YYPO along with that of Multi-Objective Differential Evolution with Ranking-based Mutation Operator, Multi-Objective Grey Wolf Optimizer, and Non-dominance Sorting Genetic Algorithm-II is benchmarked on a suite of ten multi-objective problems. A comparative analysis between the performances of these algorithms is obtained by utilizing nonparametric statistical tests for multiple comparisons. F-YYPO is observed to outperform the competing algorithms on the benchmark problems with regard to the quality of solutions and computational time.