Title: An efficient memory based differential evolution for constrained optimisation

Authors: Raghav Prasad Parouha

Addresses: Department of Mathematics, Indira Gandhi National Tribal University, Amarakantak – 484886, Madhya Pradesh, India

Abstract: Differential evolution (DE) and its diverse variants are prominently inflated by unfitting operators like mutation and crossover. Basically, DE is doesn't commit to memorise the finest effects attained in early part of the preceding peers. In this paper, a new DE (named as ^mbDE) based on memory mechanism is offered for constrained optimisation problems (COPs). It contained new mutation and crossover (so-called as swarm mutation and swarm crossover) created by particle swarm optimisation (PSO) circumstance. The performances ^mbDE has been tested over 22 CEC'2006 and 18 (10 and 30-dimensional) CEC'2010 COPs. The empirical results confirm the superiority of mbDE over many contemporary algorithms.

Keywords: differential evolution; PSO; particle swarm optimisation; mutation; crossover; elitism; COPs; constrained optimisation problems.

DOI: 10.1504/IJAIP.2025.144978

International Journal of Advanced Intelligence Paradigms, 2025 Vol.30 No.1, pp.69 - 94

Accepted: 13 Apr 2020
Published online: 17 Mar 2025 *

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