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The Patchy GA and Domination Problems

机译:斑驳的遗传算法和控制问题

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摘要

Let G = (V,E) be an undirected graph. A dominating set is any subset S is contained V such that, for all v ∈ V― S, v is adjacent to at least one element of S. The problem of determining, for arbitrary G and integer K, whether or not G has a dominating set of size less than or equal to K, is NP-complete (Garey & Johnson 1979); we denote this decision problem and the corresponding optimization problem by DOM. This paper represents a first attempt to apply genetic algorithms to the dominating set problem. We identify two classes of graphs―random geometric graphs and lattice-partitioned degree-4 graphs―for which GAs significantly outperform the greedy heuristic. Random geometric graphs have been well-studied in the computer science and mathematics literature. A lattice-partitioned random degree-4 graph is constructed as follows: form a p X q lattice of cells, each containing three vertices. Within each pair of horizontally and vertically adjacent cells, construct a random matching between the three vertices in each cell (wrap around for cells at the boundaries of the lattice).
机译:令G =(V,E)为无向图。一个支配集合是包含V的任何子集S,使得对于所有v∈V- S,v都与S的至少一个元素相邻。对于任意G和整数K确定G是否具有a的问题。大小小于或等于K的支配集是NP完全的(Garey&Johnson 1979);我们用DOM表示这个决策问题和相应的优化问题。本文代表了将遗传算法应用于支配集问题的首次尝试。我们确定了两类图-随机几何图和格划分4度图-对于这些图,GA的性能明显优于贪婪启发式算法。在计算机科学和数学文献中已经对随机几何图进行了深入研究。如下构造晶格划分的随机4级图:形成一个单元格的p X q晶格,每个单元格包含三个顶点。在每对水平和垂直相邻的单元格中,在每个单元格的三个顶点之间构建随机匹配(在晶格边界处的单元格环绕)。

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