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This paper discusses the optimal design of a 30 kW, 3-phase squirrel-cage induction motor using three optimization algorithms: Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Sequential Quadratic Programming (SQP). It proposes a hierarchical optimization method that allows for a single optimal solution rather than a Pareto set, with findings indicating that PSO is the most efficient algorithm in terms of computation time and achieving global optimization. The study provides a comparison of th

Author

Đào Hữu Nguyên

Language

EN