Particle swarm optimization algorithm based on parameter improvements-Reference-Cited by-同舟云学术

Particle swarm optimization algorithm based on parameter improvements

Published:2017-08-08 Issue:3 Volume:17 Page:557-568
ISSN:1472-7978
Container-title:Journal of Computational Methods in Sciences and Engineering
language:
Short-container-title:JCM

Author:

Wu Qinghua¹,Song Tao²,Liu Hanmin³,Yan Xuesong⁴

Affiliation:

1. Faculty of Computer Science and Engineering, Wuhan Institute of Technology, Hubei, Wuhan 430205, China

2. Center of Network and Educational Technology, China University of Geosciences, Hubei, Wuhan 430074, China

3. Wuhan Institute of Ship Building Technology, Wuhan, Hubei 430050, China

4. School of Computer Science, China University of Geosciences, Wuhan, Hubei 430074, China

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,General Engineering

Reference50 articles.

1. J. Kennedy and R. Ceberhart, Particle swarm optimization, in: Proceedings of IEEE International Conference on Neural Networks (1995), 1942–1948.

2. Y.H. Shi and R. Eberhart, A modified particle swarm optimizer, in: IEEE International Conference on Evolutionary Computation, Anchorage, Alaska, (1988), 69–73.

3. Y.H. Shi and R. Eberhart, Empirical study of particle swarm optimization, in: International Conference on Evolutionary Computation, Washington, USA: IEEE, (1999), 1945–1950.

4. Study on the strategy of decreasing inertia weight in particle swarm optimization algorithm;Chen;Journal of Xi’an Jiaotong University,2006

5. The particle swarm-explosion, stability, and convergence in a multidimensional complex space;Clerc;IEEE Transactions on Evolutionary Computation,2002

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