Abstract
Increasing of efficiency is the main aim of designing induction motors. The conventional methods can be used to design these types of motors, but the disadvantage of these methods is the dependency of them to a linear model, which reduces accuracy. While the random search methods don’t need linear Model. In this article, Due to the high precision of random search methods, the application of the Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Biogeography Based Optimization (BBO) algorithms in designing parameters of a single-phase induction motor, will be proposed. The main advantages of the proposed techniques are simple structure of them and straight forward verification of maximum efficiency of induction motor for a given output power. The objective function is the efficiency of the machine. Some limitations are imposed on the designing too. The results show that the BBO method gives more suitable design optimization against conventional methods.
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