一种基于差分进化和实用群优化的高效混合算法

2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence Pub Date : 2017-01-01 DOI:10.1109/CONFLUENCE.2017.7943122

Paurush Bhulania, Heena Saxena, S. Tomar

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引用次数: 0

摘要

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。

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An efficient hybrid approach using differential evolution and practical swarm optimization

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.

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2017 7th International Conference on Cloud Computing, Data Science & Engineering - Confluence

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