Improving genetic algorithm performance in multi-classification using simplex method

Proceedings - 1st International Conference on Integrated Intelligent Computing, ICIIC 2010

Volumn , Issue , 2010, Pages 222-226

  Salar, H ^a   Farrokhi, F ^a  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM PERFORMANCE; CLASSIFICATION ACCURACY; GENETIC STRUCTURE; LOCAL SEARCH; MULTI-CLASSIFICATION; SIMPLE GA; SIMPLEX METHODS;

GENETIC ALGORITHMS;

INTELLIGENT COMPUTING;

EID: 77958615264     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIIC.2010.34     Document Type: Conference Paper

References (31)

1. W.R. Smart, "Genetic Programming for Multiclass Object Classification", M. Science thesis, Victoria University of Wellington, 2005
2. D.E. Rumelhart, G.E. Hinton, R.J. Williams, "Learning internal representations by error propagation", Parallel Distributed Processing - Explorations in the Microstructure of Cognition. MIT Press, ch. 8, pp. 318-362. , 1986
3. M. Mangal, M.P. Singh, "Analysis of pattern classification for the multidimensional parity-bitchecking problem with hybrid evolutionary feed-forward neural network", Elsevier, Neurocomputing 70, pp.1511-1524, 2007
4. J.H. Holland, Adaption in Natural and Artificial Systems, Ann Arbor, MI, Univ. Michigan Press, 1975.
5. D.T. Pham, D. Karaboga, Intelligent Optimization Techniques, Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks, New York: Springer- Verlag, 2000.
6. Z. Michalewicz, Genetic Algorithm+DataStructures=Evolution Programs, 2nd extended ed. New York: Springer-Verlag, 1994.
7. S. Mishra, S.K. Patra,"Short Term Load Forecasting using Neural Network trained with Genetic Algorithm Algorithm & Particle Swarm Optimization", ICETET apos;08, First International Conference on Emerging Trends in Engineering and Technology, pp. 606-611, Jul. 2008.
8. E.F.M. Filho, A.C.P.L.F. Carvalho, "Evolutionary Design of MLP Neural Network Architectures", IEEE Comput. Soc ,Proceedings of IVth Brazilian Symposium on Neural Networks, pp.58-65, 1997.
9. M. Rocha, P. Cortez, J. Neves, "Evolutionary Neural Network Learning", Progress in Artificial Intelligence, EPIA 2003 Proceedings, LNAI 2902, pp. 24-28, Beja, Portugal, Springer, Dec. 2003.
10. F. Leung, H. Lam, S. Ling, P. Tam, "Tuning of the structure and parameters of a neural network using an improved genetic algorithm", IEEE Transactions on Neural Networks, vol. 14, no. 1, pp. 79-88, Jan. 2003.
11. M. Rocha, P. Cortezy, J. Neves, "Evolutionary Design of Neural Networks for Classification and Regression", ICANNGA Proceedings, Coimbra, Portugal, March, 2005
12. Li Pan, H. Zheng, "A Simplex-Genetic Hybrid Approach for the Classification of Image Textures", IEEE, ICNN&B '05. International Conference on Neural Networks and Brain, vol. 2, pp 1192-1196 , 2005.
13. M. Zhang, U. Bhowan, B. Ny, " Genetic Programming for Object Detection: A Two-Phase Approach with an Improved Fitness Function", Electronic Letters on Computer Vision and Image Analysis 6(1): pp. 27-43, 2007
14. M. Zhang, W. Smart, "Genetic Programming with Gradient Descent Search for Multiclass Object Classification", M. Keijzer et al. (Eds.): EuroGP 2004, LNCS 3003, pp. 399-408, 2004
15. Ph. Koehn,"Combining Genetic Algorithms and Neural Networks:The Encoding Problem", M.Sience Thesis, The University of Tennessee, Knoxville, December 1994
16. U. Seiffert, "Multiple Layer Perceptron Training Using Genetic Algorithms", ESANN'2001 proceedings - European Symposium on Artificial Neural Networks Bruges (Belgium), 25-27, D-Facto public., pp. 159-164, April 2001
17. P. Engelbrecht , Computational Intelligence, 2nd Ed., John Wiley & Sons, Ltd, Chichester, UK, Oct. 2007
18. J. A. Nelder and R. Mead, "A simplex method for function minimization", Comput. J. , vol. 7, pp 308-313, 1965
19. W.H. Press,S. A. Teukolsky, W.T. Vetterling,B. P. Flannery, Numerical Recipes in C The Art of Scientific Computing, 2nd Ed., Univ. Cambridge Press, Cambridge, U.K., (ISBN 0-521-43108-5), 1988-1992
20. Dasarathy, "Nosing Around the Neighborhood: A New System Structure and Classification Rule for Recognition in Partially Exposed Environments", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-2, No. 1, pp. 67-71, B.V., Jan. 1980
21. Congressional Quarterly Almanac, Volume XL: Congressional Quarterly, 98th Congress, 2nd session 1984
22. G. Demiroz, H.A. Govenir, N. Ilter, "Learning Differential Diagnosis of Eryhemato-Squamous Diseases using Voting Feature Intervals", Artificial Intelligence in Medicine, 1988
23. R.S. Michalski, I. Mozetic, J. Hong, N Lavrac.. "The Multi-Purpose Incremental Learning System AQ15 and its Testing Application to Three Medical Domains", Proceedings of the Fifth National Conference on Artificial Intelligence, pp.1041-1045, Philadelphia, PA: Morgan Kaufmann, 1986
24. M. Tan, L.Eshelman, "Using weighted networks to represent classification knowledge in noisy domains", Proceedings of the Fifth International Conference on Machine Learning, pp.121-134, Ann Arbor, MI., 1988
25. O.L. Mangasarian, W.H. Wolberg, "Cancer diagnosis via linear programming", SIAM News, Volume 23, pp.1-18. Number 5, September 1990,
26. O.L. Mangasarian, W.N. Street, W.H. Wolberg, "Breast cancer diagnosis and prognosis via linear programming. Operations Research", 43(4), pp. 570-577, 1995.
27. W.H. Wolberg, W.N. Street, O.L. Mangasarian "Machine learning techniques to diagnose breast cancer from fineneedle aspirates", Cancer Letters 77, pp.163-171 , Mar. 1994
28. W.H. Wolberg, W.N. Street, O.L. Mangasarian, Image analysis and machine learning applied to breast cancer diagnosis and prognosis, Analytical and Quantitative Cytology and Histology, Vol. 17,No. 2, pp.77-87, April 1995
29. K.H. Tung, X. Xu, B.C. Ooi. "CURLER: Finding and Visualizing Nonlinear Correlated Clusters", SIGMOD Conference. 2005
30. C. Kaynak, "Methods of Combining Multiple Classifiers and Their Applications to Handwritten Digit Recognition",MSc Thesis, Institute of Graduate Studies in Science and Engineering, Bogazici University, 1995
31. F. Alimoglu, "Combining Multiple Classifiers for Pen-Based Handwritten Digit Recognition", MSc Thesis, Institute of Graduate Studies in Science and Engineering, Bogazici University, 1996