semantic_scholarIEEE transactions on applied superconductivity2026-08-01
Multiobjective Optimization of Air-Core HTS Pancake Coils Using Machine-Learning Surrogate and Sobol Assisted-PSO for Air-Core HTS Coil Design
Masoud Ardestani, J. Murta-Pina, Mohammad Yazdani-Asrami, R. H. D. de Oliveira
TL;DR: A novel surrogate-assisted framework that couples a pretrained feed-forward neural network (FFNN) with Sobol-assisted particle swarm optimization (PSO) is presented and demonstrated in four application-driven scenarios.
Designing air-core high-temperature superconducting (HTS) pancake coils for AC operation involves competing objectives and requires systematic optimization. This paper presents a novel surrogate-assisted framework that couples a pretrained feed-forward neural network (FFNN) with…