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- W1917814591 abstract "The Set Covering Problem (SCP) is NP-hard. We propose a new Row Weighting Local Search (RWLS) algorithm for solving the unicost variant of the SCP, i.e., USCPs where the costs of all sets are identical. RWLS is a heuristic algorithm that has three major components united in its local search framework: (1) a weighting scheme, which updates the weights of uncovered elements to prevent convergence to local optima, (2) tabu strategies to avoid possible cycles during the search, and (3) a timestamp method to break ties when prioritizing sets. RWLS has been evaluated on a large number of problem instances from the OR-Library and compared with other approaches. It is able to find all the best known solutions (BKS) and improve 14 of them, although requiring a higher computational effort on several instances. RWLS is especially effective on the combinatorial OR-Library instances and can improve the best known solution to the hardest instance CYC11 considerably. RWLS is conceptually simple and has no instance-dependent parameters, which makes it a practical and easy-to-use USCP solver." @default.
- W1917814591 created "2016-06-24" @default.
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- W1917814591 date "2015-11-01" @default.
- W1917814591 modified "2023-10-11" @default.
- W1917814591 title "An efficient local search heuristic with row weighting for the unicost set covering problem" @default.
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- W1917814591 doi "https://doi.org/10.1016/j.ejor.2015.05.038" @default.
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