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A surrogate heuristic for set covering problems

✍ Scribed by Luiz Antonio N. Lorena; Fábio Belo Lopes


Publisher
Elsevier Science
Year
1994
Tongue
English
Weight
733 KB
Volume
79
Category
Article
ISSN
0377-2217

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## Abstract A heuristic solution procedure for set covering is presented that works well for large, relatively dense problems. In addition, a confidence interval is established about the unknown global optimum. Results are presented for 30 large randomly generated problems.

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An efficient probabilistic set covering heuristic is presented. The heuristic is evaluated on empirically difficult to solve set covering problems that arise from Steiner triple systems. The optimal solution to only a few of these instances is known. The heuristic provides these solutions as well as