最大容量代表问题的精确和启发式方法

I. E. D. Souza, Mauro Roberto Costa da Silva, Welverton R. Silva, Rafael C. S. Schoeury
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引用次数: 0

摘要

本文研究了求不相交集合族的代表系统的问题。为了解决这一问题,采用了三种方法:整数规划、分支定界和BRKGA元启发式。我们观察到,在随机生成的实例中,分支定界算法是最精确的方法,但在大型实例中被BRKGA超越。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exact and Heuristic Approaches to the Maximum Capacity Representatives Problem
This paper approaches the problem of finding the system of representatives of a family of disjoint sets. To solve this problem, three methods were used: integer programming, branch-and-bound, and the BRKGA metaheuristic. We observed that, in randomly generated instances, the branch-and-bound algorithm was the best exact method but it was surpassed by BRKGA for large instances.
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