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The recent emphasis on energy conversion demands an improvement of the efficiency of three-phase induction motors (IM). The high efficiency IM can be achieved by selecting optimum motor design parameters. Therefore, it is necessary to develop an efficient evolutionary approach for optimal design of three-phase IM. This paper presents a bacterial foraging (BF) algorithm for optimizing the IM design...
This paper presents results of optimization calculation of the big power low voltage induction motor. The results received by new three hybrid algorithms: GA-R, ESmu+lambda-R, PSO-R were compared. These hybrid algorithms were created by connecting three algorithms of global optimization, i.e. genetic algorithm GA, evolutionary strategy ES and particle swarm optimization PSO with a suitable modified...
In the paper, a new hybrid optimization algorithm, using genetic and modified deterministic Rosenbrock's algorithm in designing big power induction motor is presented. The continuous and discontinuous decision variables and a big collection of limitations were used.
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