| 基于最优保存和自适应性的混合遗传算法 |
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| 引用本文： | 孟炳泉,孙方裕.基于最优保存和自适应性的混合遗传算法[J].高等学校计算数学学报,2002,24(3):244-253. |
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| 作者姓名： | 孟炳泉 孙方裕 |
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| 作者单位： | 浙江大学理学院数学系,杭州,310028 |
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| 基金项目： | 国家和浙江省自然科学基金，浙江省教委科研项目资助. |
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| 摘 要： | 1 引 言遗传算法（Genetic Algorithm,GA）是由Michigan大学Holland等创立的.常用的遗传算法一般有以下三种:简单遗传算法（Simple Genetic Algorithm,SGA）或称标准遗传算法（Canonical Genetic Algorithm,CGA）、最优保存简单遗传算法（Optimum MaintainingSimple Genetric Algorithm,OMSGA）和自适应遗传算法（Adaptive Genetic Algorithm,AGA）.
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| 关 键 词： | 最优保存 自适应性 混合遗传算法 |
| 修稿时间： | 2000年12月14 |
A HYBRID GENETIC ALGORITHM BASED ON OPTIMUM MAINTAINING AND ADAPTIVE GENETIC ALGORITHM |
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| Meng Bingquan,Sun Fangyu.A HYBRID GENETIC ALGORITHM BASED ON OPTIMUM MAINTAINING AND ADAPTIVE GENETIC ALGORITHM[J].Numerical Mathematics A Journal of Chinese Universities,2002,24(3):244-253. |
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| Authors: | Meng Bingquan Sun Fangyu |
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| Abstract: | This article on the basis of the study of Optimum maintaining Simple Genetic Algorithms (OMSGA) and Adaptive Genetic Algorithm (AGA), puts forward a Hybrid Genetic Algorithm (HGA) and gives it a simple analysis and its schema theorem. In this HGA, the variability of A, and its selection are always inclined to the good side of OMSGA and AGA, while overcomes the defective side of OMSGA and AGA. This makes its performance stabler, and search efficiency better. Finally, its validity and stability have also been proved by means of comparing examples. |
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| Keywords: | convergence hybrid genetic algorithm |
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