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A large neighbourhood search heuristic for covering designs

机译:覆盖设计的大型邻域搜索启发式

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摘要

In this paper, we propose a new heuristic for the covering design problem based on a large neighbourhood search (LNS) metaheuristic that can be seen as a special case of a variable neighbourhood search. As the initial solution, we use a well-known greedy heuristic as well as a new tie-braking rule within greedy algorithms for choosing blocks in the covering. Some theoretical aspects of the greedy heuristic are discussed. The proposed LNS-based heuristic called level reduction can be applied to any covering design and different pre-defined orders, such as lex, colex, etc. With our simple approach, we establish 21 new best known upper bounds on the covering number.
机译:在本文中,我们提出了一种基于大邻域搜索(LNS)元启发式算法的覆盖设计问题的新启发式方法,可以将其视为可变邻域搜索的一种特殊情况。作为初始解决方案,我们在贪婪算法中使用了众所周知的贪婪启发式算法和新的平局规则,以选择覆盖中的块。讨论了贪婪启发式的一些理论方面。提议的基于LNS的启发式降低级别可以应用于任何覆盖设计和不同的预定义顺序(例如lex,colex等)。通过我们的简单方法,我们在覆盖编号上建立了21个最知名的新上限。

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