引用本文:黄 鵾, 陈森发, 周振国.基于正交试验法的小生境混合遗传算法[J].控制理论与应用,2004,21(6):1007~1010.[点击复制]
HUANG Kun, CHEN Sen-fa, ZHOU Zhen-guo.Orthogonal experiment method based on niche hybrid genetic algorithm[J].Control Theory and Technology,2004,21(6):1007~1010.[点击复制]
基于正交试验法的小生境混合遗传算法
Orthogonal experiment method based on niche hybrid genetic algorithm
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DOI编号  
  2004,21(6):1007-1010
中文关键词  遗传算法  全局优化  小生境  正交操作  混合进化
英文关键词  genetic algorithm  global optimization  niche  orthogonal operations  hybrid evolution
基金项目  
作者单位
黄 鵾, 陈森发, 周振国 中国电子科技集团公司第28研究所,江苏 南京 210007
东南大学 系统工程研究所,江苏 南京 210096 
中文摘要
      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 ,同时算法稳定性也得到了一定的提高
英文摘要
      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.