Hybrid particle guide selection methods in multi-objective particle swarm optimization

e-Science 2006 - Second IEEE International Conference on e-Science and Grid Computing

Volumn , Issue , 2006, Pages

  Ireland, David ^a   Lewis, Andrew ^a   Mostaghim, Sanaz ^b   Lu, Jun Wei ^a  

^a GRIFFITH UNIVERSITY   (Australia)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

MULTIOBJECTIVE OPTIMIZATION; STATISTICAL METHODS;

HYBRID PARTICLE GUIDE SELECTION METHODS; HYBRIDIZATIONS; OPTIMIZATION ALGORITHMS;

GRID COMPUTING;

EID: 38449094143     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/E-SCIENCE.2006.261049     Document Type: Conference Paper

References (13)

1. R.C Eberhart and Y. Shi, "Particle Swarm Optimization: developments, applications and resources", In Proc Congress on Evolutionary Computation Vol. 1 pp. 81 - 86 May 2001
2. Y. Rahmat-Sammi, N. Jin and S. Xu, "Particle Swarm Optimization (PSO) In Electromagnetics: Let the Bees Design Your Antennas", 22nd Annual Review on Progress in Applied Electromagnetics, March 2006.
3. J. Kennedy and R.C Eberhart, "Swarm Intelligence", Morgan Kaufmann 2001
4. J. Kennedy and R.C. Eberhart, "Particle Swarm Optimization", In Proc. International Conference on Neural Networks Perth Australia 1995
5. S.M. Guru, S.K. Halgamuge and S. Femado, "Particle Swarm Optimisers for Cluster Formation in Wireless Sensor Networks", In Proc. 2005 International Conference on Intelligent Sensors, Sensor Networks and Information Processing Conference, pp 319 - 324 December 2005
6. M.M Khodier, C.G Christodoulou, "Linear Array Geometry Synthesis with Minimum Sidelobe Level and Null Control Using Particle Swarm Optimization", IEEE Transactions on Antennas and Propagation Vol. 53 No. 8 pp 2674 - 2679 August 2005
7. th Congress on Evolutionary Computation 2002
8. K.E. Parsopoulos and M.N. Vrahatis, "Particle Swarm Optimization Methods in Mutliobjective Problems", In Proc. of the 2002 ACM Symposium on Applied Computing, pp 603-607 Madrid Spain 2002.
9. C. A. Coello Coello and M. S. Lechuga, "MOPSO: A Proposal for Multiple Objective Particle Swarm Optimization", In Proc. IEEE World Congress on Computational Intelligence, Hawaii 2002
10. S. Mostaghim and J. Teich, "Strategies for Finding Good Local Guides in Multi-Objective Particle Swarm Optimization (MOPSO)", In Proc. IEEE Conference on Swarm Intelligence Symposium pp. 26 - 33 April 2003
11. R. Mendes and J. Kennedy and J. Neeves, "The Fully Informed Particle Swarm: Simpler, Maybe Better'', IEEE Transactions on Evolutionary Computation, Vol. 8 No. 3 pp. 204-210 June 2004
12. Y. Collette and P. Siarry, "Multiobjective Optimization Principles and Case Studies", Springer-Verlag Berlin Heidelberg 2003
13. E. Zitzler, "Evolutionary Algorithms for Multiobjective Optimization: Methods and Applications", TIK-Schriftenreihe Nr. 30, Dissertation ETH No. 13398, Shaker Verlag, Germany, Swiss Federal Institute of Technology (ETH) Zurich 1999