A study of parallel and distributed particle Swarm optimization methods

Proceeding of the 2nd Workshop on Bio-Inspired Algorithms for Distributed Systems, BADS '10

Volumn , Issue , 2010, Pages 9-16

  Vanneschi, Leonardo ^a   Codecasa, Daniele ^a   Mauri, Giancarlo ^a  

^a UNIVERSITY OF MILANO BICOCCA   (Italy)

Author keywords

Optimization; Parallel and distributed algorithms; Swarm intelligence

Indexed keywords

BENCHMARK FUNCTIONS; DISTRIBUTED PARTICLES; EXPERIMENTAL STUDIES; ISLAND MODEL; MULTI-SWARMS; NUMERICAL OPTIMIZATIONS; PARALLEL AND DISTRIBUTED ALGORITHMS; PARTICLE MIGRATION; RASTRIGIN; SWARM INTELLIGENCE; TEST FUNCTIONS; TIME STEP;

ALGORITHMS; CELLULAR AUTOMATA; OPTICAL COMMUNICATION; TEST FACILITIES;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 77954938833     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1809018.1809022     Document Type: Conference Paper

References (20)

1. T. Blackwell and J. Branke. Multi-swarm optimization in dynamic environments. In G. R. Raidl, et al., editors, EvoWorkshops, LNCS, pages 489-500. Springer, 2004.
2. T. M. Blackwell. Swarm music: improvised music with multi-swarms. In Proc. of the 2003 AISB Symp. on Artificial Intelligence and Creativity in Arts and Science, pages 41-49, 2003.
3. L. Diosan and M. Oltean. Evolving the structure of the particle swarm optimization algorithms. In EvoCOP'06, pages 25-36. Springer Verlag, 2006.
4. F. Fernández, M. Tomassini, and L. Vanneschi. An empirical study of multipopulation genetic programming. Genetic Programming and Evolvable Machines, 4(1):21-52, 2003.
5. L. Z. W. C. L. Jian. Solving contrained optimization via a modified genetic particle swarm optimization. In Workshop on Knowledge Discovery and Data Mining, WKDD'08, pages 217-220. IEEE Computer Society, 2008.
6. Y. Jiang, W. Huang, and L. Chen. Applying multi-swarm accelerating particle swarm optimization to dynamic continuous functions. In 2009 Second International Workshop on Knowledge Discovery and Data Mining, pages 710-713, 2009.
7. J. Kennedy, R. Poli, and T. Blackwell. Particle swarm optimisation: an overview. Swarm Intelligence, 1(1):33-57, 2007.
8. C. Li and S. Yang. Fast multi-swarm optimization for dynamic optimization problems. In ICNC '08: Proceedings of the 2008 Fourth International Conference on Natural Computation, pages 624-628, Washington, DC, USA, 2008. IEEE Computer Society.
9. J. J. Liang and P. N. Suganthan. Dynamic multi-swarm particle swarm optimizer with local search. In 2005 IEEE Congress on Evolutionary Computation, CEC 2005, volume 1, pages 522-528, 2005.
10. F.-Q. Lu, M. Huang, W.-K. Ching, X.-W. Wang, and X.-l. Sun. Multi-swarm particle swarm optimization based risk management model for virtual enterprise. In GEC '09: Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, pages 387-392, New York, NY, USA, 2009. ACM.
11. B. Niu, Y. Zhu, X. He, and H. Wu. MCPSO: A multi-swarm cooperative particle swarm optimizer. Applied Mathematics and Computation, 2(185):1050-1062, 2007.
12. S. M. Ross. Introduction to Probability and Statistics for Engineers and scientists. Academic Press, New York, 2000.
13. Y. H. Shi and R. Eberhart. A modified particle swarm optimizer. In Proc. IEEE Int. Conference on Evolutionary Computation, pages 69-73. IEEE Computer Society, 1998.
14. P. Suganthan, N. Hansen, J. Liang, K. Deb, Y. Chen, A. Auger, and S. Tiwari. Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization. Technical Report Number 2005005, Nanyang Technological University, 2005.
15. F. Van den Bergh and A. P. Engelbrecht. A cooperative approach to particle swarm optimization. IEEE Transactions on Evolutionary Computation, 8(3):225-239, 2004.
16. L. Vanneschi. Theory and Practice for Efficient Genetic Programming. Ph.D. thesis, Faculty of Sciences, University of Lausanne, Switzerland, 2004.
17. L. Vanneschi, D. Codecasa, and G. Mauri. An empirical comparison of parallel and distributed particle swarm optimization methods. In J. Branke et al., editor, Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2010. ACM Press, 2010. To appear.
18. Y. Wang and Y. Yang. An interactive multi-swarm pso for multiobjective optimization problems. Expert Systems with Applications, 2008. In press. On-line version available at http://www.sciencedirect.com.
19. T. White and B. Pagurek. Towards multi-swarm problem solving in networks. In Proceedings of Third International Conference on Multi-Agent Systems (ICMAS'98, pages 333-340. IEEE Computer Society, 1998.
20. A. Zhigljavsky and A. Zilinskas. Stochastic Global Optimization. Springer Optimization and Its Applications, Vol. 9, 2008.