The Set Covering Problem (SCP) is an important combinatorial optimization problem that finds application in a large variety of practical areas, particularly in airline crew scheduling or vehicle routing and facility placement problems. To solve de SCP we employ the Spotted Hyena Optimizer (SHO), which is a metaheuristic inspired by the natural behavior of the spotted hyenas. In this work, in order to improve the performance of our proposed approach we use Autonomous Search (AS), a case of adaptive systems that allows modifications of internals components on the run. We illustrate interesting experimental results where the proposed approach is able to obtain global optimums for a set of well-known set covering problem instances.
CITATION STYLE
Soto, R., Crawford, B., Vega, E., Gómez, A., & Gómez-Pulido, J. A. (2019). Solving the set covering problem using spotted hyena optimizer and autonomous search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11606 LNAI, pp. 854–861). Springer Verlag. https://doi.org/10.1007/978-3-030-22999-3_73
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