Binary Cat Swarm Optimization Algorithm with Dynamic Adaptation of Parameters Based on Fuzzy Logic

摘要

This paper describes a modification of the binary cat swarm optimization algorithm (BCSO) based on fuzzy logic. Different fuzzy systems were considered to measure the performance of the algorithm with a set of benchmark mathematical functions with different population sizes. The original BCSO was used to compare in terms of performance with the proposed fuzzy versions of BCSO called FBCSO-W and FBCSO-SW.