English  |  正體中文  |  简体中文  |  Items with full text/Total items : 51897/87065 (60%)
Visitors : 8467070      Online Users : 124
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/75248


    Title: Hardware/Software Co-design for Particle Swarm Optimization Algorithm
    Authors: Li, Shih-an;Wong, Ching-chang;Yu, Chia-jun;Hsu, Chen-chien
    Contributors: 淡江大學電機工程學系
    Keywords: Field Programmable Gate Array (FPGA);HW/SW Co-design;Particle swarm optimization (PSO);system on a programmable chip (SOPC)
    Date: 2010-10
    Issue Date: 2012-03-16 21:27:11 (UTC+8)
    Publisher: Institute of electrical and electronics engineers (IEEE)
    Abstract: This paper presents a hardware/software (HW/SW) co-design approach using SOPC technique and pipeline design method to improve the performance of particle swarm optimization (PSO) for embedded applications. Based on modular design architecture, a particle updating accelerator module via hardware implementation for updating velocity and position of particles and a fitness evaluation module implemented on a soft-cored processor for evaluating the objective functions are respectively designed and work closely together to accelerate the evolution process. Thanks to a flexible design, the proposed approach can tackle various optimization problems of embedded applications without the need for hardware redesign. To compensate the deficiency in generating truly random numbers by hardware implementation, a particle re-initialization scheme is also presented in this paper to further improve the execution performance of the PSO. Experiment results have demonstrated that the proposed HW/SW co-design approach to realize PSO is capable of achieving a high-quality solution effectively.
    Relation: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp.3762-3767
    DOI: 10.1109/ICSMC.2010.5641826
    Appears in Collections:[電機工程學系暨研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    Hardware Software Co-design for Particle Swarm.pdf全文檔795KbAdobe PDF534View/Open
    index.html0KbHTML148View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback