Efficient graph coloring with parallel genetic algorithms

被引：0
|
作者：
Kokosinski, Z [1 ]
Kwarciany, K [1 ]
Kolodziej, M [1 ]
机构：
[1] Cracow Inst Technol, Fac Elect & Comp Engn, PL-31155 Krakow, Poland
来源：
COMPUTING AND INFORMATICS | 2005年 / 24卷 / 02期
关键词：
graph coloring; parallel genetic algorithm; migration model; CEX crossover; SPPX crossover;
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：
In this paper a new parallel genetic algorithm for coloring graph vertices is presented. In the algorithm we apply a migration model of parallelism and define two new recombination operators SPPX and CEX. For comparison two problem-oriented crossover operators UISX and GPX are selected. The performance of the algorithm is verified by computer experiments on a set of standard graph coloring instances.
引用
收藏
页码：123 / 147
页数：25
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