Proceedings of the 2012 International Symposium on Nonlinear Theory and its Applications
2012
Session Number:A3L-A
Session:
Number:150
Searching Ability of PSO with Non-Convergent Particles
Takeshi Kamio, Yuhei Itaki, Hisato Fujisaka, Kazuhisa Haeiwa,
pp.150-153
Publication Date:
Online ISSN:2188-5079
[1] J. Kennedy and R.C. Eberhart, “Particle Swarm Optimization,” Proc. IEEE ICNN, pp.1942-1948, 1995.
[2] J. Kennedy, R.C. Eberhart, and Y. Shi, Swarm intelligence, Morgan Kaufmann Publishers, San Francisco, 2001.
[3] A. E. Olsson, Particle Swarm Optimization: Theory, Techniques and Applications, Nova Science Publishers, New York, 2011.
[4] M. Clerc, “The swarm and the queen: Towards a deterministic and adaptive particles swarm optimization,” Proc. of IEEE CEC, pp.1951-1957, 1999.
[5] O. Urfalioglu, “Robust estimation of camera rotation,translation and focal length at high outlier rates,” Proc. of the First Canadian Conference on Computer and Robot Vision, pp.464-471, 2004.
[6] K. Jin'no, “A Novel Deterministic Particle Swarm Optimization System,” Journal of Signal Processing, vol.13, no.6, pp.507-513, 2009.
[7] E. Miyagawa and T. Saito, “Expand-and-Reduce Algorithm of Particle Swarm Optimization,” Lecture Notes in Computer Science, vol.4984, pp.873-881, 2008.
[8] T. Saito and E. Miyagawa, “Growing-Tree Particle Swarm Optimizer with Tabu Search Function,” Proc. of NOLTA, pp.376-379, 2009.
[9] H. Matsushita and Y. Nishio, “Network-Structured Particle Swarm Optimizer with Small-World Topology,” Proc. of NOLTA, pp.372-375, 2009.
[10] M. Clerc and J. Kennedy, “The Particle Swarm - Explosion, Stability, and Convergence in a Multidimensional Complex Space,” IEEE Trans. Evolutionary Computation, vol.6, no.1, pp58-73, 2002.