Finding analog ambiguity groups through variation particle swarm optimization

被引:0
|
作者
School of Automation, University of Electronics Science and Technology of China, Chengdu 610054, China [1 ]
机构
来源
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao | 2008年 / 10卷 / 1266-1270期
关键词
Decomposition methods;
D O I
暂无
中图分类号
学科分类号
摘要
A variation particle swarm optimization algorithm based on the matrix basis to search the ambiguity in analog circuit is proposed to improve the round-off error caused by routine triangle decomposition method. It firstly analyzes the components of canonical ambiguity groups, finds all second order ambiguity groups via the initialization of particle swarm, and then chooses the components of higher order ambiguity groups based on lower order ambiguity groups to get all canonical ambiguity groups through variation of particle velocities. It is demonstrated by an example that the proposed algorithm can find all canonical groups without triangle decomposition and heightens the precision and decreases the complexities of computation.
引用
收藏
相关论文
共 50 条
  • [1] Analog circuit design optimization through the particle swarm optimization technique
    Mourad Fakhfakh
    Yann Cooren
    Amin Sallem
    Mourad Loulou
    Patrick Siarry
    Analog Integrated Circuits and Signal Processing, 2010, 63 : 71 - 82
  • [2] Analog circuit design optimization through the particle swarm optimization technique
    Fakhfakh, Mourad
    Cooren, Yann
    Sallem, Amin
    Loulou, Mourad
    Siarry, Patrick
    ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 2010, 63 (01) : 71 - 82
  • [3] Finding ambiguity groups in low testability analog circuits
    Starzyk, JA
    Pang, J
    Manetti, S
    Piccirilli, MC
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, 2000, 47 (08): : 1125 - 1137
  • [4] Finding feasible timetables with particle swarm optimization
    Qarouni-Fard, Danial
    Najafi-Ardabili, Amir
    Moeinzadeh, M-Hossein
    Sharifian-R, Sarah
    Asgarian, Ehsan
    Mohammadzadeh, Javad
    2007 INNOVATIONS IN INFORMATION TECHNOLOGIES, VOLS 1 AND 2, 2007, : 294 - +
  • [5] Analog Circuit Optimization Based on Hybrid Particle Swarm Optimization
    Joshi, Deepak
    Dash, Satyabrata
    Agarwal, Ujjawal
    Bhattacharjee, Ratnajit
    Trivedi, Gaurav
    2015 INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND COMPUTATIONAL INTELLIGENCE (CSCI), 2015, : 164 - 169
  • [6] Particle swarm optimization for finding RNA secondary structures
    Geis, Michael
    Middendorf, Martin
    INTERNATIONAL JOURNAL OF INTELLIGENT COMPUTING AND CYBERNETICS, 2011, 4 (02) : 160 - 186
  • [7] Autonomous Particles Groups for Particle Swarm Optimization
    Seyedali Mirjalili
    Andrew Lewis
    Ali Safa Sadiq
    Arabian Journal for Science and Engineering, 2014, 39 : 4683 - 4697
  • [8] Emitter Location Finding using Particle Swarm Optimization
    Cakir, Oguzhan
    Kaya, Ismail
    Yazgan, Ayhan
    Cakir, Omer
    Tugcu, Emin
    RADIOENGINEERING, 2014, 23 (01) : 252 - 258
  • [9] Autonomous Particles Groups for Particle Swarm Optimization
    Mirjalili, Seyedali
    Lewis, Andrew
    Sadiq, Ali Safa
    ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2014, 39 (06) : 4683 - 4697
  • [10] A Particle Swarm Optimization Algorithm for Finding DNA Sequence Motifs
    Lei, Chengwei
    Ruan, Jianhua
    2008 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE WORKSHOPS, PROCEEDINGS, 2008, : 166 - 173