Circle-Based Improvement Strategy of Simulated Annealing Genetic Algorithm

被引：0
|
作者：
Han Bing [1 ]
Jiang Junna [1 ]
Wang Xinchun [1 ]
机构：
[1] HeBei United Univ, Sch Sci, Tangshan, Hebei, Peoples R China
来源：
INFORMATION COMPUTING AND APPLICATIONS, PT 2 | 2012年 / 308卷
关键词：
Circular Strategy; Genetic Algorithm; Global Convergence; Golden Section;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Circular regulation is an important law of bionomics. Simulated annealing genetic algorithm is an effective method of improving genetic algorithm. Combining circular strategy with simulated annealing genetic algorithm efficiently, a novel simulated annealing genetic algorithm applying circular strategy is proposed. And it is justified according to schema evolution analysis and convergence analysis. It can not only assure the capability of global convergence, but also accelerate the evolution of colony and acquire the satisfactory global optimal solution.
引用
收藏
页码：502 / 507
页数：6
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