Disassembly Sequence Planning Based on Improved Genetic Algorithm

被引：0
|
作者：
Chen, JiaZhao [1 ]
Zhang, YuXiang [1 ]
Liao, HaiTao [1 ]
机构：
[1] Xian Res Inst Hitech, Xian, Shaanxi Provinc, Peoples R China
来源：
ADVANCES IN MULTIMEDIA, SOFTWARE ENGINEERING AND COMPUTING, VOL 2 | 2011年 / 129卷
关键词：
genetic algorithm; adaptive method; sequence planning;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper researches on the optimization method of disassembly sequences based on genetic algorithms (GA). In order to find the best disassembly sequence, the paper gives encoding mode, fitness function, and crossover and mutation method. By adopting adaptive method to change crossover rate and mutation rate, genetic algorithm is improved to ensure its convergence and to accelerate its searching speed of the best solution. The simulation result proves that the improved genetic algorithm is effective when it is used to optimize disassembly sequence.
引用
收藏
页码：471 / 476
页数：6
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