Abstract
An automatic design optimization of a wireless power transfer system is performed using Monte Carlo tree search (MCTS). Several key factors, i.e., the compensation network, shapes and geometrical parameters of the coils are determined after searches, in order to achieve the high transfer efficiencies for coaxial aligned and misaligned cases. The improved Selection policy in MCTS, called first play urgency (FPU), is implemented for optimization. It proves to be a more promising technique for finding optimal solutions when the searching volume is limited, compared with the original MCTS with using the upper confidence bound applies to tree (UCB1).
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