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A XOR-based ABC algorithm for solving set covering problems
dc.contributor.author | Soto R. | |
dc.contributor.author | Crawford B. | |
dc.contributor.author | Lizama S. | |
dc.contributor.author | Johnson F. | |
dc.contributor.author | Paredes F. | |
dc.date.accessioned | 2020-09-02T22:28:41Z | |
dc.date.available | 2020-09-02T22:28:41Z | |
dc.date.issued | 2016 | |
dc.identifier | 10.1007/978-3-319-26690-9_19 | |
dc.identifier.citation | 407, , 209-218 | |
dc.identifier.issn | 21945357 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12728/6308 | |
dc.description | The set covering problem is a classical problem in the subject of combinatorial optimization that consists in finding a set of solutions that cover a range of needs at the lowest possible cost. The literature reports various techniques to solve this problem, ranging from exact algorithms to approximate methods. In this paper, we present a new XOR-based artificial bee colony algorithm for solving set covering problems. We integrate a XOR operator to binarize the solution construction in order to cope with the binary nature of set covering problems. We also incorporate pre-processing phases and dynamic ABC parameters so as to improve solving time. We report interesting and competitive experimental results on a set of 65 benchmarks from the Beasley’s OR-Library. © Springer International Publishing Switzerland 2016. | |
dc.language.iso | en | |
dc.publisher | Springer Verlag | |
dc.source | Hassanien A.E.El-Bendary N.Gaber T.Dey N. | |
dc.subject | Artificial bee colony algorithm | |
dc.subject | Bio-inspired systems | |
dc.subject | Metaheuristics | |
dc.subject | Set covering problem | |
dc.subject | Algorithms | |
dc.subject | Bins | |
dc.subject | Combinatorial optimization | |
dc.subject | Evolutionary algorithms | |
dc.subject | Factory automation | |
dc.subject | Information science | |
dc.subject | Intelligent systems | |
dc.subject | Optimization | |
dc.subject | Abc algorithms | |
dc.subject | Approximate methods | |
dc.subject | Artificial bee colony algorithms | |
dc.subject | Bioinspired systems | |
dc.subject | Classical problems | |
dc.subject | Exact algorithms | |
dc.subject | Meta heuristics | |
dc.subject | Set covering problem | |
dc.subject | Problem solving | |
dc.title | A XOR-based ABC algorithm for solving set covering problems | |
dc.type | Conference Paper |