关键词:
另外的一个参数是惯性权重, 由Shi 和Eberhart提出, 有兴趣的可以参考他们1998年的论文(题目: A modified particle swarm optimizer)
7. Online Resources of PSO
The development of PSO is still ongoing. And there are still many unknown areas in PSO research such as the mathematical validation of particle swarm theory.
One can find much information from the internet. Following are some information you can get online:
http://www.particleswarm.net lots of information about Particle Swarms and, particularly, Particle Swarm Optimization. lots of Particle Swarm Links.
http://icdweb.cc.purdue.edu/~hux/PSO.shtml lists an updated bibliography of particle swarm optimization and some online paper links
http://www.researchindex.com/ you can search particle swarm related papers and references.
References:
http://www.engr.iupui.edu/~eberhart/
http://users.erols.com/cathyk/jimk.html
http://www.alife.org
http://www.aridolan.com
http://www.red3d.com/cwr/boids/
http://iridia.ulb.ac.be/~mdorigo/ACO/ACO.html
http://www.engr.iupui.edu/~shi/Coference/psopap4.html
Kennedy, J. and Eberhart, R. C. Particle swarm optimization. Proc. IEEE int'l conf. on neural networks Vol. IV, pp. 1942-1948. IEEE service center,
Eberhart, R. C. and Kennedy, J. A new optimizer using particle swarm theory. Proceedings of the sixth international symposium on micro machine and human science pp. 39-43. IEEE service center,
Eberhart, R. C. and Shi, Y. Particle swarm optimization: developments, applications and resources. Proc. congress on evolutionary computation 2001 IEEE service center, Piscataway, NJ.,
Eberhart, R. C. and Shi, Y. Evolving artificial neural networks. Proc. 1998 Int'l Conf. on neural networks and brain pp. PL5-PL13.
Eberhart, R. C. and Shi, Y. Comparison between genetic algorithms and particle swarm optimization. Evolutionary programming vii: proc. 7th ann. conf. on evolutionary conf.,
Shi, Y. and Eberhart, R. C. Parameter selection in particle swarm optimization. Evolutionary Programming VII: Proc. EP 98 pp. 591-600.
Shi, Y. and Eberhart, R. C. A modified particle swarm optimizer. Proceedings of the IEEE International Conference on Evolutionary Computation pp. 69-73. IEEE Press,