A stochastic method for minimizing functions with many minima

Neural Networks for Signal Processing - Proceedings of the IEEE Workshop

Volumn 2002-January, Issue , 2002, Pages 289-296

  Ye, Hong ^a   Lin, Zhiping ^a  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL EFFICIENCY; GLOBAL OPTIMIZATION; NEURAL NETWORKS; NUMERICAL METHODS; OPTIMIZATION; STOCHASTIC SYSTEMS;

COMPUTATIONAL RESULTS; CONTINUOUS OPTIMIZATION PROBLEMS; GLOBAL OPTIMAL SOLUTIONS; GLOBAL OPTIMIZATION ALGORITHM; LOCAL OPTIMIZATION METHODS; NEURAL NETWORK LEARNING; OPTIMIZATION PROBLEMS; SUPERVISED NEURAL NETWORK TRAINING;

SIGNAL PROCESSING;

EID: 0038748786     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NNSP.2002.1030040     Document Type: Conference Paper

References (9)

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4. R. Horst and H. Tuy, Global Optimization: Deterministic Approaches, Springer-Verlag, Berlin, 1996.
5. W. L. Goffe, G. D. Ferrier and J. Rogers, "Global Optimization of Statistical Functions with Simulated Annealing", Journal of Econometrics, vol. 60, pp. 65-99, 1994.
6. A. Corana, M. Marchesi, C. Martini and S. Ridella, "Minimizing Multimodal Functions of Continuous Variables with the 'Simulated Annealing' Algorithm", ACM Transactions on Mathematical Software, vol. 13, no. 3, pp. 262-280, 1987.
7. C. A. Floudas, P. M. Pardalos, C. S. Adjiman and W. R. Esposito, Handbook of Test Problems in Local and Global Optimization, Kluwer Academic Publishers, USA, 1999.
8. G. L. Bilbro, "Fast Stochastic Global Optimization", IEEE Transactions on Systems, Man and Cybernetics, vol. 24, pp. 684-689, Apr., 1994.
9. P. R. Chowdhury, Y. P. Singh and R. A. Chansarkar "Hybridization of Gradient Descent Algorithm with Dynamic Tunneling Methods for Global Optimization", IEEE Transactions on Systems, Man and Cybernetics - Part A, vol. 30, pp. 384-390, May, 2000.