A multicriteria genetic tuning for fuzzy logic controllers

摘要: This paper presents the use of genetic algorithms to develop smartly tuned fuzzy logic controllers in multicriteria complex problems. tuning approach has some specific restrictions that make it very particular and because large time requirements existing due need considering multiple criteria -which enlarges solution search space-, long computation models usually used for fitness assessment. To solve these restrictions, two efficient strategies different approaches have been developed tested a real-world problem control HVAC Systems.