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. © 2011 Springer-Verlag.
Cite
CITATION STYLE
Valdez, F., Melin, P., & Castillo, O. (2011). Bio-inspired optimization methods for minimization of complex mathematical functions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7095 LNAI, pp. 131–142). https://doi.org/10.1007/978-3-642-25330-0_12
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
