Abstract
This paper describes a hybrid approach for optimization combining Particle Swarm Optimization (PSO) and Genetic Algorithms (GAs) using Fuzzy Logic to integrate the results, the proposed method is called FPSO+FGA. The new hybrid FPSO+FGA approach is compared with the Simulated Annealing (SA), PSO, GA, Pattern Search (PS) methods with a set of benchmark mathematical functions.
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Valdez, F., Melin, P., Castillo, O. (2011). Bio-Inspired Optimization Methods for Minimization of Complex Mathematical Functions. In: Batyrshin, I., Sidorov, G. (eds) Advances in Soft Computing. MICAI 2011. Lecture Notes in Computer Science(), vol 7095. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25330-0_12
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DOI: https://doi.org/10.1007/978-3-642-25330-0_12
Publisher Name: Springer, Berlin, Heidelberg
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