作者
Ahmed Ali Abdalla Esmin, Germano Lambert-Torres, Guilherme Bastos Alvarenga
发表日期
2006/12/13
研讨会论文
2006 Sixth International Conference on Hybrid Intelligent Systems (HIS'06)
页码范围
57-57
出版商
IEEE
简介
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.
引用总数
学术搜索中的文章
AAA Esmin, G Lambert-Torres, GB Alvarenga - 2006 Sixth International Conference on Hybrid …, 2006