A self-generating fuzzy system with ant and particle swarm cooperative optimization

Expert Systems with Applications

Volumn 36, Issue 3 PART 1, 2009, Pages 5362-5370

  Juang, Chia Feng ^a   Wang, Chi Yen ^a  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

Author keywords

Ant colony optimization; Fuzzy clustering; Fuzzy control; Particle swarm optimization; Swarm intelligence

Indexed keywords

ANT COLONY OPTIMIZATION; FUZZY CLUSTERING; FUZZY CONTROL; FUZZY SYSTEMS; ITERATIVE METHODS; PARTICLE SWARM OPTIMIZATION (PSO); SWARM INTELLIGENCE;

COOPERATIVE OPTIMIZATION; FUZZY CONTROLLER DESIGN; LEARNING ABILITIES; ONLINE TRAINING; OPTIMAL PARAMETER; PARTICLE SWARM; SELF-ALIGNING; SWARM INTELLIGENCE ALGORITHMS;

CLUSTERING ALGORITHMS;

EID: 58349111699     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.06.101     Document Type: Article

References (30)

1. Belarbi K., and Titel F. Genetic algorithm for the design of a class of fuzzy controllers: An alternative approach. IEEE Transactions on Fuzzy Systems 8 4 (2000) 398-405
2. Cassillas, J., Cordon, O., Viana, I.F. & Herrera, F. (2000). Learning fuzzy rules using ant colony optimization algorithms. In Prof ANTS'2000 - from ant colonies to artificial ants: 2nd international workshop on ant algorithms (pp. 12-21). September.
3. Chen X., and Li Y. A modified PSO structure resulting in high exploration ability with convergence guaranteed. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 37 5 (2007) 1271-1289
4. Chou C.H. Genetic algorithm-based optimal fuzzy controller design in the linguistic space. IEEE Transactions on Fuzzy Systems 14 3 (2006) 372-385
5. Chung I.F., Lin C.J., and Lin C.T. A GA-based fuzzy adaptive learning control network. Fuzzy Sets and Systems 112 (2000) 65-84
6. Clerc M., and Kennedy J. The particle swarm - explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation 6 1 (2002) 58-73
7. Dorigo M., and Gambardella L.M. Ant colony system: A cooperative learning approach to the traveling salesman problem. IEEE Transactions on Evolutionary Computation 1 1 (1997) 53-66
8. Dorigo M., Maniezzo V., and Colorni A. Ant system: optimization by a colony of cooperating agents. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 26 1 (1996) 29-41
9. Dorigo M., and Stützle T. Ant colony optimization. MIT (2004) July
10. Giordano V., Naso D., and Turchiano B. Combining genetic algorithms and Lyapunov-based adaptation for online design of fuzzy controllers. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 36 5 (2006) 1118-1127
11. Heo J.S., Lee K.Y., and Ramirez R.G. Multiobjective control of power plants using particle swarm optimization techniques. IEEE Transactions on Energy Conversion 21 2 (2006) 552-561
12. Homaifar A., and McCormick E. Simultaneous design of membership functions and rule sets for fuzzy controllers using genetic algorithms. IEEE Transactions on Fuzzy Systems 3 2 (1995) 129-139
13. Höppner F., Klawonn F., Kruse R., and Runkler T. Fuzzy cluster analysis: Methods for classification. Data analysis and image recognition (1999), John Wiley & Sons, Ltd.
14. Ho S.L., Yang S., Ni G., and Wong H.C. A particle swarm optimization method with enhanced global search ability for design optimizations of electromagnetic devices. IEEE Transactions on Magnetics 42 3 (2006) 1107-1110
15. Juang C.F. A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithms. IEEE Transactions on Fuzzy Systems 10 2 (2002) 155-170
16. Juang C.F. A hybrid of genetic algorithm and particle swarm optimization for recurrent network design. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 34 2 (2004) 997-1006
17. Juang C.F., and Lin C.T. An on-line self-constructing neural fuzzy inference network and its applications. IEEE Transactions on Fuzzy Systems 6 (1998) 12-32
18. Juang C.F., Lin J.Y., and Lin C.T. Genetic reinforcement learning through symbiotic evolution for fuzzy controller design. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 30 2 (2000) 290-302
19. Kennedy, J. & Eberhart, R. (1995). Particle swarm optimization. In Proceedings of IEEE international conference on neural networks (pp. 1942-1948). Perth, Australia, December.
20. Kennedy, J., Eberhart, R. C., & Shi, Y. (2001). Swarm intelligence, San Francisco, Morgan Kaufmann.
21. Lin C.T., and Lee C.S.G. Neural fuzzy systems: A neural-fuzzy synergism to intelligent systems (1996), Prentice Hall
22. Mendes, R., Cortez, P., Rocha, M., & Neves, J. (2002). Particle swarms for feedforward neural network training. In Proceedings of international joint conference on neural networks (pp. 1895-1899).
23. Michalewicz Z. Genetic algorithms + data structures = evolution programs (1999), Springer
24. Parpinelli R.S., Lopes H.S., and Freitas A.A. Data mining with an ant colony optimization algorithm. IEEE Transactions on Evolutionary Computing 6 4 (2002) 321-332
25. Ratnaweera A., Halgamuge S.K., and Watson H.C. Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Transactions on Evolutionary Computation 8 3 (2004) 240-255
26. Shi, Y., & Eberhart, R. (1998). A modified particle swarm optimizer. In Proceedings of IEEE world conference on computational intelligence (pp. 69-73).
27. Sim K.M., and Sun W.H. Ant colony optimization for routing and load-balancing: survey and new directions. IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans 33 5 (2003) 560-572
28. Stützle T., and Hoos H.H. MAX MIN ant system. Journal of Future Generation Computer Systems 8 16 (2000) 889-914
29. Wong C.C., and Her S.M. A self-generating method for fuzzy system design. Fuzzy Sets and Systems 103 (1999) 13-25
30. In: Yao X. (Ed). Evolutionary computation - theory and applications (1999), World Scientific