Application of QUBO solver using black-box optimization to structural design for resonance avoidance.

ABSTRACT: Quadratic unconstrained binary optimization (QUBO) solvers can be applied to design an optimal structure to avoid resonance. QUBO algorithms that work on a classical or quantum device have succeeded in some industrial applications. However, their applications are still limited due to the difficulty of transforming from the original optimization problem to QUBO. Recently, black-box optimization (BBO) methods have been proposed to tackle this issue using a machine learning technique and a Bayesian treatment for combinatorial optimization. We propose a BBO method based on factorization machine to design a printed circuit board for resonance avoidance. This design problem is formulated to maximize natural frequency and simultaneously minimize the number of mounting points. The natural frequenc

SUBMITTER: Matsumori T 

PROVIDER: S-EPMC9287372 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature