A Parallel Surrogate Model Assisted Evolutionary Algorithm for Electromagnetic Design Optimization

Optimization efficiency is a major challenge for electromagnetic (EM) device, circuit, and machine design. Although both surrogate model-assisted evolutionary algorithms (SAEAs) and parallel computing are playing important roles in addressing this challenge, there is little research that investigate...

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Bibliographic Details
Published in:IEEE transactions on emerging topics in computational intelligence 2019-04, Vol.3 (2), p.93-105
Main Authors: Akinsolu, Mobayode O., Liu, Bo, Grout, Vic, Lazaridis, Pavlos I., Mognaschi, Maria Evelina, Barba, Paolo Di
Format: Article
Language:English
Subjects:
Analytical models
Circuit design
Computational modeling
computationally expensive optimization
Design optimization
Dielectrics
differential evolution
electromagnetic design
Electromagnetic design optimization
Electromagnetics
Evolutionary algorithms
Evolutionary computation
Gaussian process
Genetic algorithms
Integrated circuit modeling
Landscape design
Operators (mathematics)
Optimization
Parallel processing
Radio antennas
Resonators
surrogate-model-assisted evolutionary algorithm (SAEA)
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Summary:Optimization efficiency is a major challenge for electromagnetic (EM) device, circuit, and machine design. Although both surrogate model-assisted evolutionary algorithms (SAEAs) and parallel computing are playing important roles in addressing this challenge, there is little research that investigates their integration to benefit from both techniques. In this paper, a new method, called parallel SAEA for electromagnetic design (PSAED), is proposed. A state-of-the-art SAEA framework, surrogate model-aware evolutionary search, is used as the foundation of PSAED. Considering the landscape characteristics of EM design problems, three differential evolution mutation operators are selected and organized in a particular way. A new SAEA framework is then proposed to make use of the selected mutation operators in a parallel computing environment. PSAED is tested by a micromirror and a dielectric resonator antenna as well as four mathematical benchmark problems of various complexity. Comparisons with state-of-the-art methods verify the advantages of PSAED in terms of efficiency and optimization capacity.
ISSN:2471-285X
2471-285X
DOI:10.1109/TETCI.2018.2864747