Abstract | ||
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The set covering problem (SCP) is a well-known combinatorial optimization problem. This paper presents a GRASP algorithm to solve a special SCP case known in the literature as the unicost set covering problem. The algorithm incorporates a local improvement procedure based on the heuristics to solve binary constraint satisfiability problems (SAT). The quality of the proposed algorithm is tested on a set of reference instances, comparing the obtained results with those found in the literature. Our algorithm improves the best-known solutions for many of these instances. |
Year | DOI | Venue |
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2007 | 10.1016/j.cor.2005.11.026 | Computers & OR |
Keywords | Field | DocType |
binary constraint satisfiability problem,special SCP case,local improvement procedure,reference instance,best-known solution,well-known combinatorial optimization problem,proposed algorithm,GRASP algorithm | Set cover problem,Constraint satisfaction,Mathematical optimization,GRASP,Combinatorial optimization problem,Algorithm,Mathematics | Journal |
Volume | Issue | ISSN |
34 | 10 | Computers and Operations Research |
Citations | PageRank | References |
22 | 1.07 | 13 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Joaquín Bautista | 1 | 345 | 27.50 |
Jordi Pereira | 2 | 252 | 19.64 |