Abstract:This paper proposes a new multi-population-based social optimization technique called Parallel Social Group Optimization (PSGO). The algorithm is inspired by the learning behaviour of humans in different groups. In this algorithm, we consider the complete process of human interaction within the group and outside the group. We implement the proposed algorithm in MATLAB and tested it on 30 standard benchmark functions. For performance analysis purposes, we compare the PSGO algorithm with other recent 16 algorith… Show more
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