A critical assessment of some variants of particle swarm optimization

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4974 LNCS, Issue , 2008, Pages 565-574

  Cagnoni, Stefano ^a   Vanneschi, Leonardo ^b   Azzini, Antonia ^c   Tettamanzi, Andrea G B ^c  

^a UNIVERSITY OF PARMA   (Italy)

^b UNIVERSITY OF MILANO BICOCCA   (Italy)

^c UNIVERSITY OF MILAN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; DYNAMICAL SYSTEMS;

ADAPTIVE PARAMETER SETTING; CRITICAL ASSESSMENT; EVOLUTION STRATEGIES; MULTIMODAL BENCHMARK; PARAMETER ADAPTATION; PARTICLE SWARM OPTIMIZATION ALGORITHM; PARTICLE SWARM OPTIMIZERS; SELECTION BASED;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 47249141291     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-78761-7_62     Document Type: Conference Paper

References (15)

1. Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proc. IEEE Int. conf. on Neural Networks, vol. IV, pp. 1942-1948 (1995)
2. Shi, Y., Eberhart, R.: A modified particle swarm optimizer. In: Proc. IEEE Int. Conference on Evolutionary Computation, pp. 69-73 (1998)
3. Poli, R.: Analysis of the publications on the applications of particle swarm optimisation. Journal of Artificial Evolution and Applications (in press)
4. Kennedy, J., Poli, R., Blackwell, T.: Particle swarm optimisation: An overview. Swarm Intelligence 1(1), 33-57 (2007)
5. Clerc, M. (ed.): Particle Swarm Optimization. ISTE (2006)
6. Poli, R.: The sampling distribution of particle swarm optimizers and their stability. Technical Report CSM-465, Department of Computer Science, University of Essex (2007)
7. Miranda, V., Fonseca, N.: EPSO: Best-of-two-worlds meta-heuristic applied to power system problems. In: Proc. IEEE Congress on Evolutionary Computation 2002, pp. 1080-1085. IEEE Computer Society Press, Los Alamitos (2002)
8. Schwefel, H.P.: Collective phenomena in evolutionary systems. In: 31st Annual Meeting of the International Society for General System Research, Budapest (Preprint 1987)
9. Van den Bergh, F.: An Analysis of Particle Swarm Optimizers. PhD thesis, Dept. of Computer Science, University of Pretoria, South Africa (2003)
10. Eiben, A., Jelasity, M.: A critical note on experimental research methodology in EC. In: Proceedings of the 2002 Congress on Evolutionary Computation (CEC 2002), pp. 582-587. IEEE Press, Piscataway (2002)
11. Archetti, F., Lanzeni, S., Messina, E., Vanneschi, L.: Genetic programming for human oral bioavailability of drugs. In: Cattolico, M. (ed.) Proceedings of the 8th annual conference on Genetic and Evolutionary Computation, Seattle, Washington, USA, pp. 255-262 (July 2006)
12. Wishart, S.D., Knox, C., Guo, A.C., Shrivastava, S., Hassanali, M., Stothard, P., Chang, Z., Woolsey, J.: DrugBank: a comprehensive resource for in silico drug discovery and exploration. Nucleic Acids Research 34 (2006)
13. Suganthan, P., Hansen, N., Liang, J., Deb, K., Auger, Y.P.C.A., Tiwari, S.: Problem definitions and evaluation criteria for the CEC 2005 special session on real-parameter optimization. Technical report, Nanyang Technological University (May 2005)
14. Vanneschi, L.: Theory and Practice for Efficient Genetic Programming. Ph.D. thesis, Faculty of Sciences, University of Lausanne, Switzerland (2004)
15. Langdon, W.B., Poli, R.: Evolving problems to learn about particle swarm optimizers and other search algorithms. IEEE Trans. on Evolutionary Computation 11(5), 561-578 (2007)