Fuzzy PSO: A generalization of particle swarm optimization

Proceedings of the International Joint Conference on Neural Networks

Volumn 2, Issue , 2005, Pages 1086-1091

  Abdelbar, Ashraf M ^a   Abdelshahid, Suzan ^a   Wunsch II, Donald C ^b  

^a The American University in Cairo   (Egypt)

^b Architectural and Environmental Engineering   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEGREE OF CHARISMA; FUZZY VARIABLE; PARTICLE SWARM OPTIMIZATION (PSO);

ARTIFICIAL INTELLIGENCE; FUZZY CONTROL; MATHEMATICAL MODELS; PROBLEM SOLVING;

OPTIMIZATION;

EID: 33745949896     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556004     Document Type: Conference Paper

References (28)

1. [Abdelbar and Abdelshahid, 2003] A.M. Abdelbar, and S. Abdelshahid, Swarm optimization with instinct-driven particles. Proceedings IEEE Congress on Evolutionary Computation, 2003.
2. [Abdelbar and Abdelshahid, 2004] A.M. Abdelbar, and S. Abdelshahid, Instinct-based PSO with local search applied to satisfiability. Proceedings International Joint Conference on Neural Networks, 2004.
3. [Abdelbar et al., 2003] A.M. Abdelbar, S. Ragab, and S. Mitri. Applying co-evolutionary particle swarm optimization to the Egyptian board game Seega. Proc. CEC-03 Workshop on Genetic Programming, 2003, p. 9-15.
4. [Abdelbar et al., 2004] A.M. Abdelbar, S. Ragab, and S. Mitri. Coevolutionary particle swarm optimization applied to the 7 × 7 Seega game. Proceedings International Joint Conference on Neural Networks, 2004.
5. [Abdelshahid, 2004] S. Abdelshahid. Variations of particle swarm optimization and their experimental evaluation on maximum satisfiability. M.S. Thesis (Ashraf Abdelbar, advisor). Department of Computer Science, American University in Cairo, May 2004.
6. [Clerc and Kennedy] M. Clerc and J. Kennedy. The particle swarm - explosion, stability, and convergence in multidimensional complex space. IEEE Transactions on Evolutionary Computation, Vol. 6, 2002, pp. 58-73.
7. [Dorigo et al., 1996] M. Dorigo, V. Maniezzo, and A. Colorni. Ant system: optimization by a colony of cooperative agents. IEEE Transactions on Systems. Man. and Cybernetics, Vol. 26, pp. 29-41, 1996.
8. [Eberhart and Shi, 2001] R.C. Eberhart, and Y. Shi. Particle swarm optimization: developments, applications and resources. In Proceedings IEEE International Conference on Evolutionary Computation, pp. 81-86, 2001.
9. [Franken and Engelbrecht, 2003] N. Franken, and A.P. Engelbrecht. Comparing PSO structures to learn the game of checkers from zero knowledge. Proceedings 2003 IEEE Congress on Evolutionary Computation, 2003.
10. [Holger and Stützle, 2000] H.H. Hoos, and T. Stützle. SATLIB: An online resource for research on SAT. In: I.P. Gent, H.V. Maaren, T. Walsh, eds., SAT 2000. IOS Press, 2000, pp. 283-292.
11. [Hu and Eberhart, 2002] X. Hu, and R.C. Eberhart. Multiobjective optimization using dynamic neighborhood particle swarm optimization. In Proceedings Congress on Evolutionary Computation, pp. 1677-1681, 2002.
12. [Jang et al., 1996] J.-S.R. Jang, C.-T. Sun, and E. Mizutani. Neuro-Fuzzy and Soft Computing. Prentice-Hall, 1996.
13. [Janson and Middendorf, 2003] S. Janson, and M. Middendorf. A hierarchical particle swarm optimizer. Proceedings 2003 IEEE Congress on Evolutionary Computation, 2003.
14. [Kennedy and Eberhart, 1995] J. Kennedy, and R.C. Eberhart. Particle swarm optimization. In Proceedings IEEE International Conference on Neural Networks, Vol. IV, pp. 1942-1948, 1995.
15. [Kennedy and Eberhart, 2001] J. Kennedy, and R. C. Eberhart. Swarm Intelligence. Morgan Kaufmann, 2001.
16. [Li and Dam, 2003] X. Li, and K.H. Dam. Comparing particle swarms for tracking extrema in dynamic environments. IEEE 2003 Congress on Evolutionary Computation, 2003.
17. [Mendes et al., 2004] R. Mendes, J. Kennedy, and J. Neves, The fully informed particle swarm: simpler, maybe better. IEEE Transactions on Evolutionary Computation, Vol. 8, No. 4, 2004.
18. [Paquet and Engelbrecht, 2003] U. Paquet, and A.P. Engelbrecht. A new particle swarm optimiser for linearly constrained optimization. IEEE Congress on Evolutionary Computation, 2003.
19. [Parsopoulos and Vrahatis, 2003] K.E. Parsopoulos, and M.N. Vrahatis. Investigating the existence of function roots using particle swarm optimization. IEEE Congress on Evolutionary Computation, 2003.
20. [Parsopoulos et al., 2003] K.E. Parsopoulos, E.I. Papageorgiou, P.P. Groumpos, and M.N. Vrahatis. A first study of fuzzy cognitive maps learning using particle swarm optimization. IEEE Congress on Evolutionary Computation, 2003.
21. [Resende et al., 1997] M.G.C. Resende, L.S, Pitsoulis, and P.M. Pardalos. Approximate solution of weighted MAX-SAT problems using GRASP. DIMACS Series on Discrete Mathematics and Theoretical Computer Science, Vol. 35, pp. 393-405, 1997.
22. [Selman et al., 1994] B. Selman, H.A. Kautz, and B. Cohen. Noise strategies for improving local search. In Proceedings National Conference on Artificial Intelligence, pp. 337-343, 1994.
23. [Shi and Eberhart, 1998a] Y. Shi, and R.C. Eberhart. A modified particle swarm optimizer. In Proceedings IEEE International Conference on Evolutionary Computation, pp. 69-73, 1998.
24. [Shi and Eberhart, 1998b] Y. Shi, and R.C. Eberhart. Parameter selection in particle swarm optimization. In Proceedings Annual Conference on Evolutionary Programming, 1998.
25. [Stacey et al., 2003] A. Stacey, M. Jancic, and I. Grundy. Particle swarm optimization with mutation. In Proceedings IEEE Congress on Evolutionary Computation, 2003.
26. [Trelea, 2003] I.C. Trelea. The particle swarm optimization algorithm: convergence analysis and parameter selection. Information Processing Letters, Vol. 85, 2003, pp. 317-325.
27. [van den Bergh and Engelbrecht, 2002] F. van den Bergh, and A.P. Engelbrecht. A new locally convergent particle swarm optimizer. Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 94-99, 2002.
28. [van der Merwe and Engelbrecht, 2003] D.W. van der Merwe, and A.P. Engelbrecht. Data clustering using particle swarm optimization. Proceedings IEEE Congress on Evolutionary Computation, 2003.