An Enhanced Differential Evolution through Memory Based Mechanism

Abstract

This article is to presents an enhanced DE (differential evolution) through memory based mechanism of PSO (particle swarm optimization). Because of uses the memory concept of PSO, the proposed DE is termed as ‘MBDE (memory based differential evolution)’ where new mutation and crossover operators are introduced. This proposed technique is implemented on four typical benchmark functions available in literature. Experimental results prove that the proposed technique produce faster and more accurate solutions than classical DE, traditional PSO and PSODE (an effective hybrid variant of PSO and DE).