Multi-Population Genetic Algorithms for Tuning Fuzzy Logic Controller

Vol.2 No.2

Year: 2007

Issue: October - December

Title: Multi-Population Genetic Algorithms for Tuning Fuzzy Logic Controller   

Author Name: Munther N. Al-Tikriti, Rokaia Sh. Al-Joubori   

Synopsis:   

Reducing the time required to reach acceptable solutions was the main goal behind parallel implementation of genetic algorithms (Gas). Starting at this point the presented paper introduces a parallel implementation of multi-population genetic algorithms to tune the fuzzy membership functions of a fuzzy logic controller (FLC) with the goal to improve its performance. The genetically tuned controller is implemented for both linear and nonlinear control systems.