並列型モンテカルロ木探索を用いた複数インダクタの同時最適設計法

抄録

Recent studies employed Monte Carlo tree search (MCTS) to optimize inductor design. However, when multiple elements are optimized simultaneously using conventional MCTS, the increase in computation time caused the large number of nodes and the design priorities that depend on the depth of the nodes are problematic. Therefore, this paper proposes a parallelized MCTS method that can simultaneously optimize multiple inductors in 6.78-MHz electric coupling wireless power transfer.