Some issues and practices for particle swarms

Proceedings of the 2007 IEEE Swarm Intelligence Symposium, SIS 2007

Volumn , Issue , 2007, Pages 162-169

  Kennedy, James ^a  

^a BUREAU OF LABOR STATISTICS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; NUMERICAL METHODS;

PARTICLE SWARMS;

GLOBAL OPTIMIZATION;

EID: 34548782238     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIS.2007.368041     Document Type: Conference Paper

References (21)

1. Angeline, P. J. (1008). Using selection to improve particle swarm optimization. Proceedings of the 1998 IEEE Congress on Evolutionary Computation, Anchorage.
2. Clerc, M. (2006). Particle Swarm Optimization. London: ISTE Publishing Company.
3. Clerc, M., and Kennedy, J. (2002). The particle swarm: Explosion, stability, and convergence in a multi-dimensional complex space. IEEE Transactions on Evolutionary Computation, 6, 58-73.
4. Eberhart, R. C., and Shi, Y.. (2000). Comparing inertia weights and constriction factors in particle swarm optimization. Proceedings of the 2000 IEEE Congress on Evolutionary Computation, San Diego, CA, pp 84-88.
5. Eberhart, R. C., and Shi, Y.. (2001). Particle swarm optimization: developments, applications and resources. Proceedings of the Congress on Evolutionary Computation 2001, Seoul, Korea. Piscataway, NJ: IEEE Service Center.
6. Gehlhaar, D. K., and Fogel, D. B. (1006). Tuning evolutionary programming for conformationally flexible molecular docking. In Evolutionary Programming, 419-429.
7. Jaccard, J., and Wan, C. K. (1996). LISREL approaches to interaction effects in multiple regression. Thousand Oaks, CA: Sage Publications.
8. Kennedy, J. (2006). In Search of the Essential Particle Swarm. Proceedings of the 2006 IEEE World Congress on Computational Intelligence (DVD).
9. Kennedy, J. (2003) Bare bones particle swarms. Proceedings of the IEEE Swarm Intelligence Symposium, 80-87. Indianapolis, IN.
10. Kennedy, J., and Eberhart, R. C., with Shi, Y. (2001). Swarm Intelligence. Morgan Kaufmann/ Academic Press.
11. Krohling, R. A. (2004). Gaussian swarm: A novel particle swarm optimization algorithm. Proceedings of the 2004 IEEE Conference on Cybernetics and Intelligent Systems (CIS), Singapore, 372-376.
12. Liang, J. J., and Suganthan, P. N. (2005). Dynamic Multiswarm Particle Swarm Optimizer (DMS-PSO). Proceedings of the IEEE Swarm Intelligence Symposium, Pasadena, CA, 124-129.
13. Mendes, R., Kennedy, J., and Neves, J. (2004). The fully informed particle swarm: simpler, maybe better. IEEE Transactions on Evolutionary Computation, 8, 204-210.
14. Mendes, R. (2004). Population Topologies and Their Influence in Particle Swarm Performance. Doctoral Thesis, Universidade do Minho.
15. Mohais, A., Mendes, R., Ward, C., and Postoff, C. (2005). Neighborhood Re-Structuring in Particle Swarm Optimization. Proceedings of the 18th Australian Joint Conference on Artificial Intelligence (AI 2005), Sydney.
16. Monson, C. K., and Seppi, K. D. (2005). Exposing origin-seeking bias in PSO. Proceedings of the 2005 conference on Genetic and Evolutionary Computation, 241 - 248.
17. Sun, J., Feng, B., and Wenbo, X. (2004). Particle swarm optimization with particles having quantum behavior. Proceedings of the IEEE Congress on Evolutionary Computation, Portland, Oregon, 325-331.
18. Richer, T. J., and Blackwell, T. M. (2006). The Levy Particle Swarm. Proceedings of the 2006 Congress on Evolutionary Computation (CEC-2006), Vancouver, Canada.
19. Shi, Y., and Eberhart, R. C. (1998). A modified particle swarm optimizer. Proceedings of the IEEE Int. Conf on Evolutionary Computation, 69-73.
20. Suganthan, P. N., Hansen, N., Liang, J. J., Deb, K., Chen, Y.-P., Auger, A., and Tiwari, S. (2005). Problem Definitions and Evaluation Criteria for the CEC 2005 Special Session on Real-Parameter Optimization. Technical Report, Nanyang Technological University, Singapore, May 2005 AND KanGAL Report #2005005, IIT Kanpur, India.
21. Wilke, D. N. (2005).Analysis of the particle swarm optimization algorithm. Master's dissertation, University of Pretoria, South Africa.