ÇOK KRİTERLİ BULANIK GENETİK ALGORİTMA İLE DALGIÇ ASENKRON MOTORLARIN TASARIM OPTİMİZASYONU

Bu çalışmada, dalgıç asenkron motorların tasarım optimizasyonu çok kriterli genetik algoritma kullanılarak gerçekleştirildi. Motor tasarımı, bulanık kümeler ve bulanık karar yapma kavramlarından faydalanarak çok kriterli bulanık optimizasyon problemi olarak formüle edildi ve genetik algoritmalar ile çözüldü. Optimal tasarımın geçerliliğini doğrulamak için iki boyutlu Sonlu Elemanlar Yöntemi (SEY) kullanıldı. Optimizasyon sonuçları amaçlanan yöntemin etkisini ve başarısını gösterdi.

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