Particle swarm optimization with hierarchical structure

被引：0

作者：

Kinoshita S. ^{[1
]}

Ishigame A. ^{[1
]}

Yasuda K. ^{[1
,2
]}

机构：

[1] Graduate School of Engineering, Osaka Prefecture University, Nakaku, Sakai, Osaka 599-8531, 1-1, Gakuen-cho

[2] Graduate School of Science and Engineering, Tokyo Metropolitan University, Hachioji-shi, Tokyo 192-0397, 1-1, Minamiosawa

来源：

IEEJ Transactions on Electronics, Information and Systems | 2010年 / 130卷 / 01期

关键词：

Hierarchical structure; Metaheuristics; Optimization; Particle swarm optimization;

D O I：

10.1541/ieejeiss.130.100

中图分类号：

学科分类号：

摘要：

This paper proposes a Particle Swarm Optimization (PSO) with hierarchical structure. In the proposed method, particles are separated into some groups, and besides, in a group particles are parted the particle of the best value from other particles. Particles of the best value in each group are applied to Gbest Model, and other particles are applied to Lbest Model. Then, the proposed method is validated through numerical simulations with several functions which are well known as optimization benchmark problems comparing to the conventional PSO methods. © 2010 The Institute of Electrical Engineers of Japan.

引用

页码：100 / 107

页数：7

共 8 条

[1] Yasuda K., Evolutionary computation and metaheuristics, T. IEE Japan, 122 C, 3, pp. 320-323, (2002)
[2] Kennedy J., Eberhart R., Swarm Intelligence, (2001)
[3] Miranda V., Fonseca N., EPSO-evolutionary particle swarm optimization, a new algorithm with applications in power systems, IEEE/PES Transmission and Distribution Conference and Exhibition 2002, pp. 745-750, (2002)
[4] Naka S., Toune S., Genji T., Yura T., Fukuyama Y., Tokuyama S., Distribution state estimation considering practical equipment in distribution syatems, T. IEE Japan, 120 B, 12, pp. 1566-1573, (2000)
[5] Clerc M., Kennedy J., The particle swarm-explosion, stability, and convergence in a multidimensional complex space, IEEE Trans. Evolutionary Computation, 6, 1, pp. 58-73, (2002)
[6] Janson S., Middendorf M., A hierarchical particle swarm optimizer and its adaptive variant, IEEE Trans, on SMC, 35, 6, pp. 1272-1282, (2005)
[7] Hiraoka S., Okamoto T., Aiyoshi E., Improvement of particle swarm optimization based on the repetitive search guideline, IEEJ Trans, on EIS, 128 C, 7, pp. 1143-1153, (2008)
[8] Yasuda K., Ishigame A., Nonlinear programming algorithm -From the practical viewpoint, The Journal of ISCIE, 50, 9, pp. 344-349, (2006)

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