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One Genetic Algorithm for Hierarchical Covering Location Problem

机译:一种分层覆盖位置问题的一种遗传算法

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In this paper we present a new heuristic approach to solve the Hierarchical Covering Location Problem - HCLP. The binary encoding with the new genetic operators that keep the feasibility of individuals is proposed. The caching GA technique was used, in order to improve computational performance. Results were obtained for test problems available in the literature with 100 and 150 vertices. GA results were compared with exact results obtained using CPLEX. In all cases the computing times were reasonable.
机译:在本文中,我们提出了一种解决分层覆盖位置问题的新启发式方法 - HCLP。 提出了与新的遗传算子的二进制编码,以保持个人的可行性。 使用缓存GA技术,以提高计算性能。 获得了文献中有100和150个顶点的测试问题的结果。 将GA结果与使用CPLEX获得的精确结果进行了比较。 在所有情况下,计算时间都是合理的。

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