用启发式算法求解无容量设施选址问题

Soumen Atta, P. Mahapatra, A. Mukhopadhyay
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引用次数: 2

摘要

本文考虑了一个众所周知的组合优化问题,即无能力设施选址问题。提出了求解UFLP的确定性启发式算法和随机启发式算法。虽然所提出的确定性启发式算法非常简单,但它对本文所考虑的每个UFLP实例都产生了很好的解。本文的主要目的是使用单一算法处理文献中可用的所有UFLP数据集。将所提出的两种算法应用于UFLP的测试实例,以确定其有效性。在这里,所提出的随机算法得到的解至少与所提出的确定性算法得到的解一样好。因此,所提出的确定性算法给出了随机化算法解的上界。尽管本文提出的确定性算法对大多数UFLP实例给出了最优解,但随机化算法对本文考虑的所有UFLP实例都得到了最优解,包括确定性算法无法得到最优解的实例。
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Solving Uncapacitated Facility Location Problem Using Heuristic Algorithms
A well-known combinatorial optimization problem, known as the uncapacitated facility location problem (UFLP) is considered in this article. A deterministic heuristic algorithm and a randomized heuristic algorithm are presented to solve UFLP. Though the proposed deterministic heuristic algorithm is very simple, it produces good solution for each instance of UFLP considered in this article. The main purpose of this article is to process all the data sets of UFLP available in the literature using a single algorithm. The proposed two algorithms are applied on these test instances of UFLP to determine their effectiveness. Here, the solution obtained from the proposed randomized algorithm is at least as good as the solution produced by the proposed deterministic algorithm. Hence, the proposed deterministic algorithm gives upper bound on the solution produced by the randomized algorithm. Although the proposed deterministic algorithm gives optimal results for most of the instances of UFLP, the randomized algorithm achieves optimal results for all the instances of UFLP considered in this article including those for which the deterministic algorithm fails to achieve the optimal solutions.
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