Bio-inspired optimization methods for minimization of complex mathematical functions

Authors:
Fevrier Valdez;Patricia Melin;Oscar Castillo
Affiliations:
Tijuana Institute of Technology, Tijuana, B.C., Mexico;Tijuana Institute of Technology, Tijuana, B.C., Mexico;Tijuana Institute of Technology, Tijuana, B.C., Mexico
Venue:
MICAI'11 Proceedings of the 10th international conference on Artificial Intelligence: advances in Soft Computing - Volume Part II
Year:
2011

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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.