Optimization Combination Genetic Algorithm for Graph Coloring Problem
DOI:
CSTR:
Author:
Affiliation:

Clc Number:

Fund Project:

  • Article
  • |
  • Figures
  • |
  • Metrics
  • |
  • Reference
  • |
  • Related
  • |
  • Cited by
  • |
  • Materials
  • |
  • Comments
    Abstract:

    Graph coloring is a NP-Complete problem. In this paper, based on the research result of Matrix genetic operator, inverse and dual combination operator, an optimization combination genetic algorithm is constructed through the inverse and dual combination genetic operator combined with matrix genetic operator to solve Graph Coloring problem. A transform coding between integer and binary is introduced to make good use of the combination operators. Fitness function based on constraint of Graph Coloring problem is designed, and the convergence of algorithm is proved. Better efficiency of the optimization combination genetic algorithm for solving Graph Coloring problem is verified compared with current genetic algorithm.

    Reference
    Related
    Cited by
Get Citation

帅训波,杨遂发,周兆华,王建忠.一种求解图着色问题的优化组合遗传算法①.计算机系统应用,2010,19(8):74-77

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:November 17,2009
  • Revised:January 28,2010
  • Adopted:
  • Online:
  • Published:
Article QR Code
You are the firstVisitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063