摘要
在简单遗传算法应用过程中 ,为了解决早熟现象、收敛缓慢和解的精度差等问题 ,提高遗传算法的优化性能 ,借助正交试验法的全局均衡设计思想和自然界的小生境思想 ,在引入了一些高效进化操作的基础上 ,提出了一种基于正交试验法的小生境混合遗传算法 ,并进行了性能分析和实例研究 .研究结果表明 ,该算法能够有效地增强遗传算法的全局收敛性 ,加快进化速度 。
In the applied course of simple genetic algorithm (SGA),in order to solve some problems such as premature phenomena,slow convergence and poor precision of results,raising the optimization performance of genetic algorithm,the global equilibrium design ideology of orthogonal experiment method and niche ideology of nature were studied,and some powerful evolutional operations were imported.On the basis of these,an orthogonal experiment method based niche hybrid genetic algorithm (ONHGA) is presented,and performance analysis and case research are also done.The research results show that ONHGA can effectively improve the global astringency and the evolutional speed of genetic algorithm,and the stability of algorithm is also improved.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
2004年第6期1007-1010,1019,共5页
Control Theory & Applications
关键词
遗传算法
全局优化
小生境
正交操作
混合进化
genetic algorithm
global optimization
niche
orthogonal operations
hybrid evolution
