arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1304.2641cs.DMcs.DS
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最小和着色问题的模因算法

A memetic algorithm for the minimum sum coloring problem

Yan Jin, Jin-Kao Hao, Jean-Philippe Hamiez

摘要:

给定一个无向图$G$,最小和着色问题(MSCP)是为$G$的每个顶点找到一个合法的颜色分配(用自然数表示),使得分配给顶点的颜色总和最小。提出了一种基于禁忌搜索和多亲交叉算子的多亲协作学习算法。在77个著名的DIMACS和COLOR 2002-2004标准测试实例上的实验表明,该算法与现有的5种算法相比,具有很强的竞争力。特别是,该算法可以改善最好的已知结果的17个实例。我们还首次提供了18个额外实例的上限。

英文摘要:

Given an undirected graph $G$, the Minimum Sum Coloring problem (MSCP) is to find a legal assignment of colors (represented by natural numbers) to each vertex of $G$ such that the total sum of the colors assigned to the vertices is minimized. This paper presents a memetic algorithm for MSCP based on a tabu search procedure with two neighborhoods and a multi-parent crossover operator. Experiments on a set of 77 well-known DIMACS and COLOR 2002-2004 benchmark instances show that the proposed algorithm achieves highly competitive results in comparison with five state-of-the-art algorithms. In particular, the proposed algorithm can improve the best known results for 17 instances. We also provide upper bounds for 18 additional instances for the first time.

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