Simulation optimization with multiple-demes genetic algorithms in master-slave parallel mode

被引：0
|
作者：
Xie, XF [1 ]
Zhang, WJ [1 ]
Ruan, J [1 ]
Yang, ZL [1 ]
机构：
[1] Tsing Hua Univ, Inst Microelect, Beijing 100084, Peoples R China
来源：
CHINESE JOURNAL OF ELECTRONICS | 2003年 / 12卷 / 02期
关键词：
simulation optimization; parallel calculation; master-slave; multiple-demes genetic algorithms;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Simulation optimization for complex space is realized by applying genetic algorithms (GAs) to searching the optimum parameters satisfying the desired characteristics. It is necessary to use parallel calculation to obtain satisfactory results in a reasonable amount of time. The advantages and drawbacks of existing parallel calculation mode are analyzed. Then the multiple-demes GAs in master-slave mode (MDMS) are proposed to make progress in not only the quality of solutions but also the speedup for multiple-processors, compared to conventional master-slave mode. They show less limitations on the number of processors than that or coarse-grained and neighborhood mode. The test example in semiconductor device synthesis shows the efficiency.
引用
收藏
页码：254 / 258
页数：5
相关论文
共 50 条
  • [31] Master-slave approach to parallel term rewriting on a hierarchical multiprocessor
    Lect Notes Comput Sci, (183):
  • [32] Distributed communication interference resource scheduling using the master-slave parallel scheduling genetic algorithm
    Wei, Zhenhua
    Wu, Wenpeng
    Zhan, Jianwei
    Zhang, Zhaoguang
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [33] Parallel genetic algorithms (PGAs): Master slave paradigm approach using MPI
    Ismail, MA
    E-TECH 2004, 2004, : 83 - 87
  • [34] Master-slave model-based parallel chaos optimization algorithm for parameter identification problems
    Yuan, Xiaofang
    Zhang, Ting
    Dai, Xiangshan
    Wu, Lianghong
    NONLINEAR DYNAMICS, 2016, 83 (03) : 1727 - 1741
  • [35] Master-Slave Second Order Sliding Mode Control for Microgrids
    Cucuzzella, Michele
    Incremona, Gian Paolo
    Ferrara, Antonella
    2015 AMERICAN CONTROL CONFERENCE (ACC), 2015, : 5188 - 5193
  • [36] Hardware in loop Simulation for Hydraulic Stewart Master-Slave System
    Hou, Jing-wei
    Chen, Yan-li
    Yao, Yong-ming
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON MANUFACTURING ENGINEERING AND INTELLIGENT MATERIALS (ICMEIM 2017), 2017, 100 : 592 - 597
  • [37] TG Master-Slave FFs: High-Speed Optimization
    Consoli, Elio
    Palumbo, Gaetano
    Pennisi, Melita
    2011 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2011, : 554 - 557
  • [38] Multiple Master-Slave FPGA Architecture of a Stereo Visual Odometry
    Chien, Chiang-Heng
    Hsu, Chen-Chien James
    Chien, Chiang-Ju
    IEEE ACCESS, 2021, 9 : 103266 - 103278
  • [39] Master-Slave TLBO Algorithm for Constrained Global Optimization Problems
    Mane, Sandeep U.
    Adamuthe, Amol C.
    Omane, Rajshree R.
    EAI ENDORSED TRANSACTIONS ON SCALABLE INFORMATION SYSTEMS, 2021, 8 (30): : 1 - 14
  • [40] Shell Failure Simulation Using Master-Slave and Penalty Methods
    Calneryte, Dalia
    Barauskas, Rimantas
    INFORMATION AND SOFTWARE TECHNOLOGIES, ICIST 2014, 2014, 465 : 408 - 418
12345