基于PSO和GA突变的混合进化算法

2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06) Pub Date : 2006-12-13 DOI:10.1109/HIS.2006.33

A. Esmin, G. Lambert-Torres, G. B. Alvarenga

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引用次数: 74

摘要

提出了一种基于粒子群算法和遗传算法的混合进化算法。其主要思想是将粒子群算法与遗传算法的突变方法相结合。对一系列基准测试函数的仿真结果表明，该方法比标准粒子群算法具有更好的全局寻优能力。

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Hybrid Evolutionary Algorithm Based on PSO and GA Mutation

This paper presents a hybrid evolutionary algorithm based on Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs). The main idea is to integrate PSO with GA mutation method. Simulations for a series of benchmark test functions show that the hybrid proposed method possess better ability to find the global optimum than the standard PSO algorithm.

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来源期刊

2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)

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