Simultaneous Design of Multiple Inductors Using Parallel Monte Carlo Tree Search

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.

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Publication Details

Journal
IEEJ Transactions on Industry Applications
Published
2026-06-30
DOI
https://doi.org/10.1541/ieejias.146.486
Primary Topic
VLSI and FPGA Design Techniques
Type
article
Field-Weighted Citation Impact
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article

Simultaneous Design of Multiple Inductors Using Parallel Monte Carlo Tree Search

Tomoki Hirosawa, Hirokazu Matsumoto, Nobuto Misono, Yuki Sato
IEEJ Transactions on Industry Applications
VLSI and FPGA Design Techniques
article

Simultaneous Design of Multiple Inductors Using Parallel Monte Carlo Tree Search

Tomoki Hirosawa, Hirokazu Matsumoto, Nobuto Misono, Yuki Sato
article en

Abstract

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.

IEEJ Transactions on Industry ApplicationsVol. 146(7)
Aoyama Gakuin University (JP)
Openalex Percentile: Top 12%
VLSI and FPGA Design Techniques
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