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In this paper two different multi objective functions are developed. Each one will improve some of the motor characteristics, such as efficiency, power factor, end effect and motor weight. This procedure will be done by analytic method and using particle swarm optimization technique. In this paper a new equivalent circuit model has been used that include all specific effects of single-sided linear induction motors, and a new method will be suggested to evaluate intensity of end effect by help of equivalent circuit method. Results show the accuracy of the equivalent circuit model and the improvement of objective functions at the end of optimization procedure. Two dimensional finiteelement analysis will evaluates the analytical result.Index Terms--Efficiency, End-effect, Finite-element, Power factor.

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Linear induction motors are used in various industries but the low efficiency and low power factor are their major problems. These two problems become more baneful in high power and high speed applications. For example in transport industry, they lead to high energy consumption and high input current that occupy transmission line capacity. Thus it is necessary to improve efficiency and power factor, furthermore, the decrease in weight, cause to lower cost and better performance of linear induction motors. In this paper two different multi objective functions are developed. One of these objective functions will improve power factor and efficiency and the other one will decrease the weight of the motor. This procedure is done by analytic method and using particle swarm optimization technique. In this paper a new equivalent circuit model has been used that include all of specific effects of singlesided linear induction motors. Results show the accuracy of the equivalent circuit model and the improvement of objective functions at the end of optimization procedure. Two-dimensional finiteelement analysis evaluates the analytical result.