Orthogonal Genetic Algorithm and Its Application in Function Optimization

摘要：

　　Traditional genetic algorithm trapped into the local minimum easily.Therefore,based on a simple genetic algorithm and combine the base ideology of orthogonal test then applied it to the population initialization,crossover operator,as well as the introduction of adaptive orthogonal local search to prevent local convergence to form a new orthogonal evolutionary algorithm.Through the series of numerical experiments,proved the efficiency of the new algorithm.

关键词： Orthogonal evolutionary algorithm local search evolutionary algorithms

作者: Hanmin Liu Guangming Dai Xuesong Yan

作者单位: School of Computer Science, China University of Geosciences(Wuhan), China;Wuhan Institute of Ship Bu School of Computer Science, China University of Geosciences(Wuhan), China

会议类型: 国际会议

会议名称: the Second International Conference on Frontiers of Manufacturing and Design Science(第二届制造与设计科学国际会议(ICFMD 2011))

会议地点: 台湾

会议语种:英文

页码: 4528-4531

在线出版日期: 2011-12-11（万方平台首次上网日期，不代表论文的发表时间）