A Novel Heuristic Genetic Algorithm Based on Simulated Annealing Strategy for Intelligent Computing

被引：0
|
作者：
Diao Hongxiang [1 ]
Xiao Jian [1 ]
机构：
[1] Hunan Agr Univ, Changsha 410128, Hunan, Peoples R China
来源：
SMART MATERIALS AND INTELLIGENT SYSTEMS, PTS 1 AND 2 | 2011年 / 143-144卷
关键词：
genetic algorithms; simulated annealing algorithm; heuristic algorithm; combinatorial optimization; intelligent computing;
D O I：
10.4028/www.scientific.net/AMR.143-144.619
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Intelligent computing is the application of advanced computing methods to improve performance in areas such as complex representations that are clear to users and easily modifiable. The goal is to make decision making more reliable, spontaneous and creative. In this paper, we put forwards a novel heuristic genetic algorithm based on simulated annealing strategy. Experimental results show the effectiveness of the proposed algorithm.
引用
收藏
页码：619 / 623
页数：5
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