Modified Poll Search Differential Evolution Algorithm for Global Optimisation

Abstract

This paper introduces MPS-DE, an innovative variant of Differential Evolution (DE) that integrates the Modified Poll Search (MPS) technique with DE. The incorporation of MPS seeks to enhance the efficiency and effectiveness of the DE algorithm. A comprehensive empirical comparison was conducted among MPS-DE, RCGA-P, SRCGA, and DE/Best/1/Bin on a suite of twenty global optimisation benchmark functions. The results show that MPS-DE demonstrates superior performance compared to DE/Best/1/Bin and SRCGA, although RCGA-P outperforms MPS-DE in certain benchmarks, indicating the impressive and potential search capabilities of MPS in evolutionary algorithms.