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给定无向连通图G和m种不同的颜色。用这些颜色为图G的各顶点着色,每个顶点
着一种颜色。是否有一种着色法使G中每条边的2个顶点着不同颜色。这个问题是
图的m可着色判定问题。若一个图最少需要m种颜色才能使图中每条边连接的2个
顶点着不同颜色,则称这个数m为该图的色数。求一个图的色数m的问题称为图的
m可着色优化问题。
-Given an undirected connected graph G, and m kinds of different colors. With thes
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标准基类程序,可以在进行图着色问题时,作为基类程序应用-Standard-based class program that can progress graph coloring problem, as the base class procedure applied
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利用模拟退火法解决图着色问题,画出相应的图形,效果较好-Using simulated annealing to solve the graph coloring problem, draw the appropriate graphics, better
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遗传算法解决图的着色问题,这里面都是源程序,很有用-Genetic algorithms to solve graph coloring problem, this all source code, very useful
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麻省理工的人工智能讲义第三章
约束满足问题 介绍了各种类型的约束满足问题-AI lecture-3 of MIT
talking about Constraint Satisfaction Problems (CSPs):N-Queens problem;line labelings;Graph coloring;3-SAT; Model-based recognition etc.
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基于蚁群算法的图的着色问题的研究,毕业论文做的,还是挺好用的-Ant colony algorithm based on graph coloring problem of the studyThesis done, or very good use
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着色问题,是最著名的NP-完全问题之一。
给定一个无向图G=(V, E),其中V为顶点集合,E为边集合,图着色问题即为将V分为K个颜色组,每个组形成一个独立集,即其中没有相邻的顶点。其优化版本是希望获得最小的K值。-Coloring problem, is the most famous NP-complete problems. Given an undirected graph G = (V, E), where V is the set of vertices, E is the se
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基于遗传算法和禁忌搜索的启发式算法,提供C++代码,能够高效地解决图着色问题。-The code based on the combination of Genetic Algorithm and Tabu Search can be used to solve the Graph Coloring problem efficiently
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