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Article

A Novel Evolutionary Algorithm for Designing Robust Analog Filters

by 1,2, 1,2 and 2,3,*
1
Key Laboratory of Advanced Manufacturing Technology of Ministry of Education, Guizhou University, Guiyang 550025, China
2
School of Mechanical Engineering, Guizhou University, Guiyang 550025, China
3
Department of Computer Science and Engineering, University of South Carolina, Columbia, SC 29208, USA
*
Author to whom correspondence should be addressed.
Algorithms 2018, 11(3), 26; https://doi.org/10.3390/a11030026
Received: 12 November 2017 / Revised: 24 February 2018 / Accepted: 27 February 2018 / Published: 1 March 2018
Designing robust circuits that withstand environmental perturbation and device degradation is critical for many applications. Traditional robust circuit design is mainly done by tuning parameters to improve system robustness. However, the topological structure of a system may set a limit on the robustness achievable through parameter tuning. This paper proposes a new evolutionary algorithm for robust design that exploits the open-ended topological search capability of genetic programming (GP) coupled with bond graph modeling. We applied our GP-based robust design (GPRD) algorithm to evolve robust lowpass and highpass analog filters. Compared with a traditional robust design approach based on a state-of-the-art real-parameter genetic algorithm (GA), our GPRD algorithm with a fitness criterion rewarding robustness, with respect to parameter perturbations, can evolve more robust filters than what was achieved through parameter tuning alone. We also find that inappropriate GA tuning may mislead the search process and that multiple-simulation and perturbed fitness evaluation methods for evolving robustness have complementary behaviors with no absolute advantage of one over the other. View Full-Text
Keywords: robust design; evolutionary algorithms; computational synthesis; genetic programming; bond graphs; analog filters; automated design robust design; evolutionary algorithms; computational synthesis; genetic programming; bond graphs; analog filters; automated design
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MDPI and ACS Style

Li, S.; Zou, W.; Hu, J. A Novel Evolutionary Algorithm for Designing Robust Analog Filters. Algorithms 2018, 11, 26. https://doi.org/10.3390/a11030026

AMA Style

Li S, Zou W, Hu J. A Novel Evolutionary Algorithm for Designing Robust Analog Filters. Algorithms. 2018; 11(3):26. https://doi.org/10.3390/a11030026

Chicago/Turabian Style

Li, Shaobo, Wang Zou, and Jianjun Hu. 2018. "A Novel Evolutionary Algorithm for Designing Robust Analog Filters" Algorithms 11, no. 3: 26. https://doi.org/10.3390/a11030026

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