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
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