Fuzzy tabu search method for the clustering problem

Proceedings of 2002 International Conference on Machine Learning and Cybernetics

Volumn 2, Issue , 2002, Pages 876-880

  Xu, Hong Bing ^a   Wang, Hou Jun ^a   Li, Chun Guang ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Clustering problem; Fuzzy logic; Global optimization; Tabu search

Indexed keywords

ALGORITHMS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; NUMERICAL METHODS; OPTIMIZATION; PROBLEM SOLVING; STATE SPACE METHODS;

CLUSTERING PROBLEM; EUCLIDEAN SPACE; FUZZY TABU SEARCH;

FUZZY SETS;

EID: 0036921215     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. K.S.Al-Sultan. A tabu search approach to the clustering problem. Pattern Recognition, Vol.28, and pp.1443-1451, 1995.
2. S.Z.Seilim, M.A.Ismail. K-means-type algorithm: generalized convergence theorem and characterization of local optimality. IEEE Trans. PAMI, Vol.6, pp.81-87, 1984.
3. H.D.Vindo. Integer programming and the theory of grouping. J.Am.Statis. Soc., Vol.64, pp.506-519, 1969.
4. S.Z. Klein, R.C. Dubes. Experiments in projection and clustering by simulated annealing. Pattern Recognition, Vol.22, 213-220,1989.
5. S.Z.Selim, K.S.Al-Sultan. A simulated annealing algorithm for the clustering problem. Pattern Recognition, Vol.24, and pp.1003-1008, 1991.
6. F.Glover, "Tabu search, part I", ORSA J. Comp., Vol.1, pp.190-206,1989.
7. F.Glover. Tabu search, part II. ORSA J. Comp, Vol.2, pp.4-32, 1990.
8. D.Cvijovic, J. Klinowski. Taboo search: an approach to the multiple minima problem. Science, Vol. 267, pp.664-666, 1995.
9. M. Laguna, F. Glover. Bandwidth packing: a tabu search approach. Management Science, Vol.39, pp.492-500, 1993.
10. C.Y.Lee, H.G. Kang. Cell planning with capacity expansion in mobile communications: A tabu search approach. IEEE Trans. Veh. Tech., Vol.49, pp.1678-1691, 2000.
11. T. Matsumura, M. Nakamura, S. Tamaki, K. Onaga. A parallel tabu search based on aspiration control and its cooperative execution. IEICE Trans. Fundamental, Vol.E83-A, pp.2196-2202, 2000.
12. M.A.Lee, H.Takagi. Dynamic control of genetic algorithms using fuzzy logic techniques. In Proc. Int. Conf. Genetic Algorithms, Urbana-Champaign, IL, July 1993, pp. 76-83.
13. Y. Shi, R. Eberhart, Y. Chen. Implementation of evolutionary fuzzy systems. IEEE Trans. Fuzzy Sys., Vol.7, pp.109-119, 1999.
14. J.J.Grefenstette. Optimization of control parameters for genetic algorithms. IEEE Trans. SMC, Vol.16, pp.122-128, 1986.
15. M.Srinivas, L.M. Patnaik. Adaptive probabilities of crossover and mutation in genetic algorithms. IEEE Trans. SMC, Vol. 24, pp.656-667, 1994.
16. M. Russo. FuGeNeSys - A fuzzy genetic neural system for fuzzy modeling. IEEE Trans. Fuzzy Sys. Vol.6, pp. 373-388, 1998.
17. M.Figueiredo, F. Gomide, A.Rocha, R. Yager. Comparison of Yager's level set method for fuzzy logic control with Mamdani's and Larsen's Methods. IEEE Trans. Fuzzy Sys, Vol.1, pp.156-159, 1993.
18. Chunguang Li. Fuzzy tabu search: part I, II. Computational Intelligence Research Reports/UESTC, Chengdu, Oct. 2001.
19. Chunguang Li, Juebang Yu, Xiaofeng Liao. Fuzzy tabu search for solving the assignment problem. 2002 Int. Conf. Comm. Circuits & Systems (ICCCAS02), Chengdu, China, June 29-July 1, 2002, pp.1151-1155.
20. Chunguang Li, Juebang Yu, Xiaofeng Liao. Fuzzy tabu search for global optimization. Accepted by IEEE Trans. SMC-B, 2002.