Computational Efficiency of Circuit Design and Optimization Algorithms: A Comparative Study

被引:2
|
作者
Adair, Alec [1 ]
Tajalli, Armin [1 ]
机构
[1] Univ Utah, Dept Elect & Comp Engn, Salt Lake City, UT 84112 USA
来源
2023 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS | 2023年
关键词
g(m)/I-D methodology; Inverse-ID methodology; C/I-D methodology; Inversion-Coefficient methodology; circuit design methodology; FET circuits; computational complexity;
D O I
10.1109/ISCAS46773.2023.10182084
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Design of analog circuits is a computationally-complex process. Therefore, robust, simple, and efficient algorithms are required for design automation purpose. Developing generalized analog design methodologies, valid across a large solution space, is very demanding. This article compares computational complexity and precision of three different design methodologies, i.e., g(m)/I-D, Inversion Coefficient, IC, and C/I-D, or Inverse-ID approaches. The three methodologies will be analyzed to explore their performance to meet basic needs of the circuit design industry. A basic analog circuit block, i.e., a common-source amplifier, has been selected for this analysis. This study shows that the C/I-D method requires the least approximation for optimization.
引用
收藏
页数:5
相关论文
共 50 条
  • [31] A comparative study of decomposition algorithms for stochastic combinatorial optimization
    Lewis Ntaimo
    Suvrajeet Sen
    Computational Optimization and Applications, 2008, 40 : 299 - 319
  • [32] Nesting EM algorithms for computational efficiency
    van Dyk, DA
    STATISTICA SINICA, 2000, 10 (01) : 203 - 225
  • [33] COMPUTATIONAL EFFICIENCY OF LINEAR FILTERING ALGORITHMS
    GURA, IA
    BIERMAN, AB
    AUTOMATICA, 1971, 7 (03) : 299 - &
  • [34] A hybrid of WOA and mGWO algorithms for global optimization and analog circuit design automation
    Majeed, M. A. Mushahhid
    Patri, Sreehari Rao
    COMPEL-THE INTERNATIONAL JOURNAL FOR COMPUTATION AND MATHEMATICS IN ELECTRICAL AND ELECTRONIC ENGINEERING, 2019, 38 (01) : 452 - 476
  • [35] Comparison among evolutionary algorithms and classical optimization methods for circuit design problems
    Anile, AM
    Cutello, V
    Nicosia, G
    Rascunà, R
    Spinella, S
    2005 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-3, PROCEEDINGS, 2005, : 765 - 772
  • [36] Improving the Computational Efficiency for Optimization of Offshore Wind Turbine Jacket Substructure by Hybrid Algorithms
    Liu, Ding-Peng
    Lin, Tsung-Yueh
    Huang, Hsin-Haou
    JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2020, 8 (08)
  • [37] Application of genetic algorithms for microwave oven design:: Power efficiency optimization
    Monzo-Cabrera, Juan
    Diaz-Morcillo, Alejandro
    Dominguez-Tortajada, Elsa
    Lozano-Guerrero, Antonio
    NATURE INSPIRED PROBLEM-SOLVING METHODS IN KNOWLEDGE ENGINEERING, PT 2, PROCEEDINGS, 2007, 4528 : 580 - +
  • [38] Design of an UHF POD Antenna and Its Efficiency Optimization by Genetic Algorithms
    Huang, Chi-Fang
    Ni, Chin-Wei
    PROCEEDINGS OF THE 2019 9TH IEEE-APS TOPICAL CONFERENCE ON ANTENNAS AND PROPAGATION IN WIRELESS COMMUNICATIONS (IEEE APWC' 19), 2019, : 227 - 228
  • [39] A comparative study of energy-aware scheduling algorithms for computational grids
    Teodoro, Silvana
    do Carmo, Andriele Busatto
    Adornes, Daniel Couto
    Fernandes, Luiz Gustavo
    JOURNAL OF SYSTEMS AND SOFTWARE, 2016, 117 : 153 - 165
  • [40] A Comparative Study on Swarm-based Algorithms to Solve the Stochastic Optimization Problem in Container Terminal Design
    Zukhruf, Febri
    Frazila, Russ Bona
    Widhiarso, Wijang
    INTERNATIONAL JOURNAL OF TECHNOLOGY, 2020, 11 (02) : 374 - 387