Two-Level Pipeline Structure for Particle Swarm Optimization

DOI 被引用文献1件 参考文献5件
  • Fan Ke
    Graduate School of Information, Production and Systems, Waseda University
  • Chen Kui-Ting
    Research Center of Information, Production and Systems, Waseda University
  • Wang Peikun
    Graduate School of Information, Production and Systems, Waseda University
  • Baba Takaaki
    Graduate School of Information, Production and Systems, Waseda University

説明

In many nonlinear applications, hardware architectures for the particle swarm optimization (PSO) algorithm are implemented to obtain the optimum solution. However, the conventional hardware implementation is inefficient when the arithmetic equations in the application become complex. To overcome this problem, this paper presents a two-level pipeline structure for the PSO algorithm based on field-programmable gate array (FPGA) technology. The proposed hardware employs two novel features. First, a generic particle calculation block (GPCB) is adopted to support different kinds of PSO algorithm. Second, a twolevel pipeline approach is adopted, which helps to increase the calculation speed of the proposed hardware. The experimental results demonstrate that the proposed architecture achieves higher performance than conventional hardware.

収録刊行物

  • 信号処理

    信号処理 19 (4), 115-118, 2015

    信号処理学会

被引用文献 (1)*注記

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参考文献 (5)*注記

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詳細情報 詳細情報について

  • CRID
    1390001204463409152
  • NII論文ID
    130005090472
  • DOI
    10.2299/jsp.19.115
  • ISSN
    18801013
    13426230
  • 本文言語コード
    en
  • データソース種別
    • JaLC
    • Crossref
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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