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An efficient hybrid approach using differential evolution and practical swarm optimization

机译:使用差分进化和实用群优化的有效混合方法

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摘要

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 present algorithmic rules are also being evolved and the most advantageous method is being investigated. In this paper a concise opening to Practical swarm Optimization (PSO) and a preface to differential evolution. Further, a explanation on the hybrid algorithm evolved with DE and PSO is established and the consequent outcomes under procedure are also declared.
机译:进化论是对一些研究人员的极大好奇心的研究。关于环境中的自然过程,正在开发许多新鲜的算法规则。本算法规则的各种形式也在发展,并且正在研究最有利的方法。本文简要介绍了实用群优化(PSO),并介绍了差分进化的序言。此外,建立了关于用DE和PSO演化的混合算法的解释,并声明了程序下的结果。

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