An efficient hybrid approach using differential evolution and practical swarm optimization

Paurush Bhulania, Heena Saxena, S. Tomar
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Abstract

Evolutionary is a study of immense curiosity to several researchers. Numerous fresh algorithmic rules are being developed on the natural processes in environment. Various form of the ρ resent algorithmic rules are also being evolved and the most advantageous method is being investigated. In this ρaper a concise opening to Practicalswarm Optimization (PSO) and a preface to differential evolution. Further, a explanation on the hybrid algorithm evolved with DE and PSO is e stablished and the consequent outcomes under procedure are also declared.
一种基于差分进化和实用群优化的高效混合算法
进化论是许多研究人员非常好奇的一门学科。基于环境中的自然过程,许多新的算法规则被开发出来。各种形式的ρ现时算法规则也在发展和最有利的方法正在研究中。本文对实用群优化(PSO)作了简要的介绍,并对差分进化作了序言。在此基础上,对该算法进行了解释,并给出了相应的求解结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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