Abstract
The set covering problem seeks for minimum cost family of subsets from n given subsets, which together covers the complete set. In this article, we present multi dynamic binary black hole algorithm for resolving the set covering problem. This algorithm has the particularity to propose a generic dynamic binarization method to manage the exploration and exploitation properties. Furthermore we explore the implementation of the algorithm on Apache Spark distributed framework.
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Acknowledgments
Broderick Crawford is supported by Grant CONICYT/ FONDECYT/REGULAR/1140897 and Ricardo Soto is supported by Grant CONICYT/FONDECYT/REGULAR/1160455.
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García, J., Crawford, B., Soto, R., García, P. (2017). A Multi Dynamic Binary Black Hole Algorithm Applied to Set Covering Problem. In: Del Ser, J. (eds) Harmony Search Algorithm. ICHSA 2017. Advances in Intelligent Systems and Computing, vol 514. Springer, Singapore. https://doi.org/10.1007/978-981-10-3728-3_6
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DOI: https://doi.org/10.1007/978-981-10-3728-3_6
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