Simulated Annealing Algorithm for Multi-Objective Optimization: Application to Electric Motor Design

L. Idoumghar, D. Fodorean, and A. Mirraoui (France)


Simulated Annealing, Permanent Magnet Motor, Experimental Design, Approximation.


This article presents a novel Simulated Annealing (SA) algorithm for multi-objective optimization problem. The proposed SA algorithm is validated on five standard benchmark mathematical functions and improve the design of a Inset Permanent Magnet Motor with Concentrated Flux (IPMM-CF). The numerical results show that our approach outperforms algorithms described in [1, 2, 3, 4, 5].

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