Intelligent memetic algorithm using GA and guided MADS for the optimal design of Interior PM Synchronous Machine

Optimal design of electric machine based on FEA (Finite Element Analysis) calls for much longer computation time for maintaining high accuracy. In order to compensate the excessive computation time and guarantee the reliable convergence to global optimum, the intelligent memetic algorithm is newly implemented by combining the GA (Genetic Algorithm) and the guided MADS (Mesh Adaptive Direct Search) using the modified poll points with the relationship. Particularly, the proposed algorithm has been employed to the optimal design of IPMSM (Interior Permanent Magnet Synchronous Machine) with the many local optima, emphasizing the fast convergence to the optimal design solution maintaining the reliable accuracy.