JSE_V2_N2_RP2 Multi Population Genetic Algorithms For Tuning Fuzzy Logic Controller Munther N. Al-Tikriti Rokaia Sh. Al-Joubori Journal on Software Engineering 2230 – 7168 2 2 56 63 Genetic algorithm, multi population, fuzzy membership, fuzzy logic controller 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. October - December 2007 Copyright © 2007 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=593