Work

Classification algorithm-assisted multi-objective optimization in terahertz hollow core anti-resonant fiber design

Year: 2025

Type: article

Abstract: This study applies multi-objective optimization algorithms to the design of hollow anti-resonant fiber structures in the terahertz frequency band, focusing on four distinct models. It introduces a classification algorithm as a surrogate model to assist in multi-objective optimization, addressing challenges related to computational efficiency and data classification. The optimization targets key performance indicators, including low loss, high higher-order mode extinction ratio, high birefringence, and high polarization extinction ratio. Multiple multi-objective optimization algorithms are compared to evaluate their performance. The classification algorithm aids in parameter tuning and facilitates a comparative analysis of different optimization algorithms, enhancing the overall optimization process.

Source: Optics Express

DOI: 10.1364/oe.562229

Authors: Lihong Zhai, Jiyang Luo, Hairuo Wang, Jinxiao Pan, Ping Chen

Institution: Taiyuan Institute of Technology

Language: English

Topic: Advanced Multi-Objective Optimization Algorithms

Subfield: Computational Theory and Mathematics

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,270

Funders: National Natural Science Foundation of China, National Key Research and Development Program of China