基于最优保存和自适应性的混合遗传算法

• 作者: 孙方裕 孟炳泉
• 来源期刊: 高等学校计算数学学报
• 学科: 数学
• 关键词: partition coefficient λt convergence hybrid genetic algorithm
• 年，卷（期）: 2002,（3）
• 页码范围: 244-253
• 页数: 10页
• 分类号: O242.23
• 字数: 4241字
• 语种: 中文
• DOI: 10.3969/j.issn.1000-081X.2002.03.008

摘要

This article on the basis of the study of Optimum maintaining SimpleGenetic Algorithms (OMSGA) and Adaptive Genetic Algorithm (AGA), putsforward a Hybrid Genetic Algorithm (HGA) and gives it a simple analysis and itsschema theorem. In this HGA, the variability of of and its selection are always inclined to the good side of OMSGA and AGA, while overcomes the defective sideof OMSGA and AGA. This makes its performance stabler, and search efficiencybetter. Finally, its validity and stability have also been proved by means of com-paring examples.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	孙方裕	浙江大学理学院数学系	13	67	4.0	7.0
2	孟炳泉	浙江大学理学院数学系	1	24	1.0	1.0