Multi-Population Genetic Algorithms for Tuning Fuzzy Logic Controller
Munther N. Al-Tikriti, Rokaia Sh. Al-Joubori · i-manager’s Journal on Software Engineering · 2007
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.