Structural Elements Placement on the Printed Circuit Board using Genetic Algorithm

被引：0
|
作者：
Voronova, Valentina V. [1 ]
Chermoshencev, Sergey F. [1 ]
Gabidullin, Azat N. [1 ]
机构：
[1] Kazan Natl Res Tech Univ, Dept Comp Aided Design Syst, Kazan, Russia
来源：
PROCEEDINGS OF THE XIX IEEE INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND MEASUREMENTS (SCM 2016) | 2016年
关键词：
evolutionary methods; genetic algorithm; crossover; mutation; allocation; coding; decision decoding;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper we consider the work of crossover and mutation operators for solving the problem of structural components placement on the circuit board using a genetic algorithm. Also the illegal or inappropriate decisions appearance problem is considered. We present the analysis of the resulting solution using varieties of crossover and mutation operators. We propose the technique of termination of illegal or inappropriate decisions.
引用
收藏
页码：283 / +
页数：2
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