Abstract
An adaptive variant of Comprehensive Learning Particle Swarm Optimizer (CLPSO) is proposed in this paper. The proposed method, called Fuzzy-Controlled CLPSO (FC-CLPSO), uses a fuzzy controller to tune the probability learning, inertia weight and acceleration coefficient of each particle in the swarm. The FC-CLPSO is compared with CLPSO and SPSO2011 on 11 benchmark functions. The results show that FC-CLPSO generally outperformed CLPSO and SPSO2011 on most of the tested functions.
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Omran, M.G.H., Clerc, M., Salman, A., Alsharhan, S. (2014). A Fuzzy-Controlled Comprehensive Learning Particle Swarm Optimizer. In: Siarry, P., Idoumghar, L., Lepagnot, J. (eds) Swarm Intelligence Based Optimization. ICSIBO 2014. Lecture Notes in Computer Science(), vol 8472. Springer, Cham. https://doi.org/10.1007/978-3-319-12970-9_4
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DOI: https://doi.org/10.1007/978-3-319-12970-9_4
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