Pipeline architecture of particle swarm optimization

Xiao Cai; Syahrulanuar Ngah; Hui Zhu; Yuji Tanabe; Takaaki Baba

doi:10.1109/ICIS.2010.42

Pipeline architecture of particle swarm optimization

Xiao Cai^*, Syahrulanuar Ngah, Hui Zhu, Yuji Tanabe, Takaaki Baba

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

This paper develops pipeline architecture of particle swarm optimization with random time-varying inertia weight and acceleration coefficients (PSO-RTVIWAC) based on existing serial architecture. The proposed architecture incorporated two features to reduce calculation error and keep high speed calculation with acceptable chip area cost. First, actual hardware design is simplified. Then the pipeline mechanism is introduced. The developed system is implemented in field programmable gate array (FPGA) and achieves high stability with slightly increased speed.

Original language	English
Title of host publication	Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
Pages	3-8
Number of pages	6
DOIs	https://doi.org/10.1109/ICIS.2010.42
Publication status	Published - 2010
Event	9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 - Yamagata Duration: 2010 Aug 18 → 2010 Aug 20

Other

Other	9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010
City	Yamagata
Period	10/8/18 → 10/8/20

Keywords

Field programmable gate array
Particle swarm optimization
Pipeline
Positioning system

ASJC Scopus subject areas

Information Systems

Access to Document

10.1109/ICIS.2010.42

Cite this

Cai, X, Ngah, S, Zhu, H, Tanabe, Y & Baba, T 2010, Pipeline architecture of particle swarm optimization. in Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010., 5593142, pp. 3-8, 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010, Yamagata, 10/8/18. https://doi.org/10.1109/ICIS.2010.42

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title = "Pipeline architecture of particle swarm optimization",

abstract = "This paper develops pipeline architecture of particle swarm optimization with random time-varying inertia weight and acceleration coefficients (PSO-RTVIWAC) based on existing serial architecture. The proposed architecture incorporated two features to reduce calculation error and keep high speed calculation with acceptable chip area cost. First, actual hardware design is simplified. Then the pipeline mechanism is introduced. The developed system is implemented in field programmable gate array (FPGA) and achieves high stability with slightly increased speed.",

keywords = "Field programmable gate array, Particle swarm optimization, Pipeline, Positioning system",

author = "Xiao Cai and Syahrulanuar Ngah and Hui Zhu and Yuji Tanabe and Takaaki Baba",

year = "2010",

doi = "10.1109/ICIS.2010.42",

language = "English",

isbn = "9780769541471",

pages = "3--8",

booktitle = "Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010",

note = "9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010 ; Conference date: 18-08-2010 Through 20-08-2010",

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AU - Cai, Xiao

AU - Ngah, Syahrulanuar

AU - Zhu, Hui

AU - Tanabe, Yuji

AU - Baba, Takaaki

PY - 2010

Y1 - 2010

N2 - This paper develops pipeline architecture of particle swarm optimization with random time-varying inertia weight and acceleration coefficients (PSO-RTVIWAC) based on existing serial architecture. The proposed architecture incorporated two features to reduce calculation error and keep high speed calculation with acceptable chip area cost. First, actual hardware design is simplified. Then the pipeline mechanism is introduced. The developed system is implemented in field programmable gate array (FPGA) and achieves high stability with slightly increased speed.

AB - This paper develops pipeline architecture of particle swarm optimization with random time-varying inertia weight and acceleration coefficients (PSO-RTVIWAC) based on existing serial architecture. The proposed architecture incorporated two features to reduce calculation error and keep high speed calculation with acceptable chip area cost. First, actual hardware design is simplified. Then the pipeline mechanism is introduced. The developed system is implemented in field programmable gate array (FPGA) and achieves high stability with slightly increased speed.

KW - Field programmable gate array

KW - Particle swarm optimization

KW - Pipeline

KW - Positioning system

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DO - 10.1109/ICIS.2010.42

M3 - Conference contribution

AN - SCOPUS:78649240838

SN - 9780769541471

SP - 3

EP - 8

BT - Proceedings - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010

T2 - 9th IEEE/ACIS International Conference on Computer and Information Science, ICIS 2010

Y2 - 18 August 2010 through 20 August 2010

ER -

Pipeline architecture of particle swarm optimization

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Keywords

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