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Abstract

This paper presents a Firefly Optimization (FFO) based design methodology for improving the efficiency of Induction Motor (IM). Firefly Algorithm, inspired by social flashing behaviour of fireflies, is one of the evolutionary computing models for solving multimodal optimization problems. Among the number of design variables of the IM, seven variables are identified as primary design variables and the FFO based design methodology is tailored to optimize the chosen primary variables with a view to obtain the global best design. The developed methodology is applied in solving two IM design problems and the results are presented with a view of exhibiting the superiority of the developed algorithm.