GPU-based coevolutionary particle swarm optimization

被引：0

作者：

Zhao Liang ^{[1
]}

Zhu Yanxing ^{[2
]}

Zhang Jianyu ^{[1
]}

Ye Zhencheng ^{[1
]}

机构：

[1] East China Univ Sci & Technol, Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

[2] Ethylene Plant Jilin Petrochem Co Ltd, PetroChina, Jilin 132021, Jilin, Peoples R China

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

关键词：

GPU; CUDA; Particle swarm optimization; Coevolutionary particle swarm optimization;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Coevolutionary particle swarm optimization (CPSO) algorithm has been investigated and applied in the real world widely. When tackling the large-scale and complex real time optimization problems, the running time of CPSO algorithm is a barrier. In this paper, Graphics Processing Unit (GPU) is introduced to provide speedup in order to meet the real time requirements. The CPSO algorithm has been implemented on GPU concurrently using the CUDA architecture. The performance and run time of CPU-based and GPU-based CPSO algorithms are compared in detail. The experiment result shows that the GPU-based parallel computation mode can shorten the run time of CPSO algorithm apparently.

引用

页码：9883 / 9887

页数：5

共 22 条

[1] GPU-PSO : Parallel Particle Swarm Optimization approaches on Graphical Processing Unit for Constraint Reasoning: Case of Max-CSPs [J].

Dali, Narjess ;

Bouamama, Sadok .

KNOWLEDGE-BASED AND INTELLIGENT INFORMATION & ENGINEERING SYSTEMS 19TH ANNUAL CONFERENCE, KES-2015, 2015, 60 :1070-1080

[2]

Eberhart R., 2002, MHS95 P 6 INT S MICR, DOI [DOI 10.1109/MHS.1995.494215, 10.1109/MHS.1995.494215]

[3]

El-Abd M, 2006, STUD COMP INTELL, V31, P239

[4]

HU X, 2002, P 6 WORLD MULT SYST

[5] Stability analysis of the particle dynamics in particle swarm optimizer [J].

Kadirkamanathan, Visakan ;

Selvarajah, Kirusnapillai ;

Fleming, Peter J. .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2006, 10 (03) :245-255

[6]

Kennedy J, 1997, IEEE SYS MAN CYBERN, P4104, DOI 10.1109/ICSMC.1997.637339

[7]

Kennedy J, 1995, 1995 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS PROCEEDINGS, VOLS 1-6, P1942, DOI 10.1109/icnn.1995.488968

[8] Coevolutionary particle swarm optimization using Gaussian distribution for solving constrained optimization problems [J].

Krohling, Renato A. ;

Coelho, Leandro dos Santos .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2006, 36 (06) :1407-1416

[9] Comprehensive learning particle swarm optimizer for global optimization of multimodal functions [J].

Liang, J. J. ;

Qin, A. K. ;

Suganthan, Ponnuthurai Nagaratnam ;

Baskar, S. .

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION, 2006, 10 (03) :281-295

[10] Coevolutionary Particle Swarm Optimization Using AIS and its Application in Multiparameter Estimation of PMSM [J].

Liu, Zhao-Hua ;

Zhang, Jing ;

Zhou, Shao-Wu ;

Li, Xiao-Hua ;

Liu, Kan .

IEEE TRANSACTIONS ON CYBERNETICS, 2013, 43 (06) :1921-1935

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