遗传算法及其并行性研究  

Research of Genetic Algorithm and its Parallelism

作　　者：肖国强[1] 王丽萍[1] 彭斌 

机构地区：[1]华中科技大学计算机科学与技术学院,武汉430074 [2]云南电力试验研究院,昆明650051

出　　处：《微处理机》2007年第5期68-70,73,共4页Microprocessors

基　　金：国家863/CIMS主题资助项目(2002AA411210)

摘　　要：遗传算法是一种解决优化问题的方法。经过多年的发展,已经在很多领域取得了成功的应用。而传统的遗传算法经过改进,产生了各种改进后的遗传算法,而并行性是遗传算法改进的重点突破方向,重点研究了遗传算法的并行性。并结合项目开发出实例。Genetic algorithm is a method of resolving optimal problem. With its development, some successful application is get by this method in many fields. Traditional genetic algorithm is promoted in some aspects in these years, and parallelism is a key aspect, parallelism of genetic algorithm is studied. Finally, a case is shown.

关 键 词：遗传算法 隐并行 并行遗传算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]