A clustering method for improving the global search capability of genetic algorithms

Proceedings - Brazilian Symposium on Neural Networks, SBRN

Volumn 2000-January, Issue , 2000, Pages 32-37

  Schnitman, Leizer ^a   Yoneyama, Takashi ^a  

^a INSTITUTO TECNOLÓGICO DE AERONÁUTICA   (Brazil)

Author keywords

Clustering algorithms; Clustering methods; Control systems; Convergence; Electronic mail; Genetic algorithms; Genetic mutations; Imaging phantoms; Optimization methods; Random number generation

Indexed keywords

ALGORITHMS; CLUSTER ANALYSIS; CONTROL SYSTEMS; ELECTRONIC MAIL; GENETIC ALGORITHMS; GLOBAL OPTIMIZATION; HEURISTIC ALGORITHMS; OPTIMIZATION; RANDOM NUMBER GENERATION;

CLUSTERING METHODS; CONVERGENCE; GENETIC MUTATIONS; IMAGING PHANTOMS; OPTIMIZATION METHOD;

CLUSTERING ALGORITHMS;

EID: 34547992071     PISSN: 15224899     EISSN: None     Source Type: Journal    
DOI: 10.1109/SBRN.2000.889709     Document Type: Article

References (10)

1. A. Agapie. Genetic Algorithms: Minimal Conditions for Convergence. Artificial Evolution, 1363: 183-193, 1998.
2. T. Back. Evolutionary Algorithms in Theory and Practice: Evolution Strategies, Evolutionary Programming, Genetic Algorithms. Oxford University Press, 1996.
3. R. Cerf. Asymptotic Theory for Genetic Algorithms, Advances in Applied Probability, 30(2):521-550, June 1999.
4. W.A. Farag, V.H. Quintana, G.L. Torres. A Genetic-Based Neuro-Fuzzy Approach for Modeling and Control of Dynamical Systems. IEEE TNN, 9(5):756-767, September 1998.
5. D.M. Himmelblau. Applied Nonlinear Programming. McGraw Hill, New York, 1972.
6. G.J. Koehler. New Directions in Genetic Algorithm Theory. Annals of Operations Research, 75: 49-68, 1997.
7. V.V. Kovacevic-Vujcic, M.M. Cangalovic, M.D. Asic, L. Ivanovic, M. Drazic. Tabu Search Methodology in Global Optimization. Computers and Mathematics with Applications, 37:125-133, 1999.
8. W.K. Lennon, K.M. Passino. Genetic Adaptive Identification and Control. Engineering Applications of Artificial Intelligence, 12(2): 185-200, April 1999.
9. M. Mitchell. An Introduction to Genetic Algorithms. The MIT Press, 1996.
10. J.M. Zurada. Introduction to Artificial Neural Systems. West Publishing, 1992.