Two-Level Pipeline Structure for Particle Swarm Optimization

DOI 1 Citations 5 References
  • 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

Description

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.

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Details 詳細情報について

  • CRID
    1390001204463409152
  • NII Article ID
    130005090472
  • DOI
    10.2299/jsp.19.115
  • ISSN
    18801013
    13426230
  • Text Lang
    en
  • Data Source
    • JaLC
    • Crossref
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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