An Improved Maxwell’s Equations Derived Optimization Algorithm with Low Time Complexity
Donglin Su, Lilin Li · 2021
The Maxwell’s equations derived optimization (ME-DO) is a novel optimization algorithm, which can obtain the accurate and robust solutions for challenging electromagnetic optimization problems. However, the original MEDO suffers from the high time complexity issue for complex electromagnetic problems. To alleviate the issue, we analytically find the key factors of its high time complexity in MEDO, and propose an improved method to reduce the time complexity, which is named as low-time-complexity Maxwell’s equations derived optimization (LTC-MEDO). Some typical numerical benchmarks are used to test the performance of the proposed LTC-MEDO, and the results show that the optimization time can be reduced significantly, while the accuracy and stability of the algorithm can be basically maintained. LTC-MEDO is also applied to a classic case of electromagnetic interference (EMI) analysis, with a satisfying result.