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A Binary Cuckoo Search Algorithm for Solving the Set Covering Problem

机译:解决布景覆盖问题的二进制布谷鸟搜索算法

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The non-unicost set covering problem is a classical optimization benchmark that belongs to the Karp's 21 NP-complete problems. In this paper, we present a new approach based on cuckoo search for solving such problem. Cuckoo search is a modern nature-inspired metaheuristic that has attracted much attention due to its rapid convergence and easy implementation. We illustrate interesting experimental results where the proposed cuckoo search algorithm reaches several global optimums for the non-unicost instances from the OR-Library.
机译:非单一成本集覆盖问题是属于Karp的21个NP完全问题的经典优化基准。在本文中,我们提出了一种基于杜鹃搜索的新方法来解决此类问题。布谷鸟搜索是一种现代自然启发式元启发式方法,由于其快速收敛和易于实现而备受关注。我们举例说明了有趣的实验结果,其中提出的布谷鸟搜索算法针对OR库中的非一元实例达到了几个全局最优值。

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