Summary
Algorithm selection problem is a common problem when we solve optimization problems. To cope with it we have proposed a hybrid system of metaheuristics that intelligently combines different strategies using a coordinator based on Fuzzy Logic. In this paper we study the impact of Fuzzy Logic in the behaviour of this hybrid system. In order to do that we perform some test to study the impact of an important parameter, the α− cut used in the fuzzy engine of the system, demonstrating how the variations on this parameter may change the performance of the system with different kind of instances.
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Cadenas, J.M., Garrido, M.C., Muñoz, E. (2008). Impact of Fuzzy Logic in the Cooperation of Metaheuristics. In: Nguyen, N.T., Katarzyniak, R. (eds) New Challenges in Applied Intelligence Technologies. Studies in Computational Intelligence, vol 134. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79355-7_22
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DOI: https://doi.org/10.1007/978-3-540-79355-7_22
Publisher Name: Springer, Berlin, Heidelberg
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