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**Hybrid heuristics for minimum cardinality set covering problems.**
*(English)*
Zbl 0592.90065

Summary: Minimum cardinality set covering problems (MCSCP) tend to be more difficult to solve than weighted set covering problems because the cost or weight associated with each variable is the same. Since MCSCP is NP- complete, large problem instances are commonly solved using some form of a greedy heuristic. In this paper hybrid algorithms are developed and tested against two common forms of the greedy heuristic. Although all the algorithms tested have the same worst case bounds provided by A. C. Ho [Math. Program. 23, 170-180 (1982; Zbl 0489.90066)], empirical results for 60 large randomly generated problems indicate that one algorithm performed better than the others.

### MSC:

90C09 | Boolean programming |

65K05 | Numerical mathematical programming methods |

05C70 | Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.) |

### Citations:

Zbl 0489.90066
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\textit{F. J. Vasko} and \textit{G. R. Wilson}, Nav. Res. Logist. Q. 33, 241--249 (1986; Zbl 0592.90065)

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### References:

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