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图着色和标号问题的蚁群优化算法 被引量:4

Ant Colony Algorithms for Graph Coloring and Labeling Problems
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摘要 对图着色问题的最大最小蚁群算法进行了改进,测试结果表明算法有效可行.在此基础上,分别设计了求解图条件着色和标号问题的相应蚁群优化算法,并对中国地图的条件着色、三正则图的条件着色、广义Petersen图的条件着色和标号问题进行了求解优化,改进和完善了目前理论研究的结论. An improved Max-Min Ant algorithm for graph coloring problem is presented, and experimental results on test instances show improvement over existing Max-Min Ant algorithm. The designed algorithm is used to solve some practical problems such as conditional coloring of the map of China, conditional coloring and L(2,1)-labeling of generalized Petersen graph. The solutions by the algorithm improve and makes perfect conclusion from recent theoretical research.
出处 《数学的实践与认识》 CSCD 北大核心 2012年第17期182-191,共10页 Mathematics in Practice and Theory
基金 国家自然科学基金(10671076 11071089) 中央高校基本科研业务费专项基金(21609602) 广东省自然科学基金(10151063201000005) 暨南大学优秀本科推免研究生科研创新教育培训项目
关键词 图着色 条件着色 蚁群算法 三正则图 广义PETERSEN图 L(2 1)标号 graph coloring conditional coloring ant colony algorithm 3-regular graphgeneralized Petersen graph L(2,1)-labeling
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参考文献14

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共引文献13

同被引文献36

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