Multi-objective Automatic Design of Permanent Magnet Motor Using Monte Carlo Tree Search

This paper proposes a novel multi-objective design method of permanent magnet (PM) motor using Mote Carlo Tree Search (MCTS). In this method, the whole machine structure of a PM motor, such as the number of poles and magnet configuration, and detailed magnetic structure are simultaneously optimized. The proposed method is shown to give Pareto solutions that consist of PM motors with different number of poles and magnet configuration.