Genetic and Simulated Annealing Algorithm based on Chaos Variables

被引：0
|
作者：
Jiang, Jing [1 ]
Tan, Boxue [1 ]
Meng, Lidong [1 ]
Jiang, Lin [2 ]
机构：
[1] Shandong Univ Technol, Sch Elect & Elect Engn, Zibo, Shandong, Peoples R China
[2] Anyang Steel & Iron Corp, Second Steel Plant, Anyang, Henan, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3 | 2009年
关键词：
genetic algorithm; simulated annealing; chaos variables;
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：
It is a research trend to incorporate neural network with genetic algorithm for solving technical and practical problems. As a single genetic algorithm has slow convergent speed and it is easily falling into local optimum, this paper presents a genetic and simulated annealing hybrid algorithm, which searches the neighborhood using chaos variables. And this paper trains a neural network using the single genetic algorithm and the proposed hybrid algorithm respectively. Simulation results show that the hybrid algorithm has more rapid convergent speed and better searching ability to find the global optimum.
引用
收藏
页码：424 / +
页数：2
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