Evolving data classification programs using genetic parallel programming

2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings

Volumn 1, Issue , 2003, Pages 248-255

  Cheang, Sin Man ^a   Lee, Kin Hong ^b   Leung, Kwong Sak ^b  

^a HONG KONG INSTITUTE OF VOCATIONAL EDUCATION   (Hong Kong)

^b CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; GENETIC ALGORITHMS; GENETIC PROGRAMMING; PARALLEL ARCHITECTURES; PARALLEL PROGRAMMING;

CLASSIFICATION ALGORITHM; DATA CLASSIFICATION PROBLEMS; EVOLUTIONARY PROCESS; FITNESS EVALUATIONS; GENERALIZATION PERFORMANCE; GENETIC PARALLEL PROGRAMMING; LINEAR GENETIC PROGRAMMING; UCI MACHINE LEARNING REPOSITORY;

CLASSIFICATION (OF INFORMATION);

EID: 24644480308     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2003.1299582     Document Type: Conference Paper

References (18)

1. R. O. Duda, P. E. Hart, and D. G, Stork: Pattern. Classification. Wiley-interscience (2001)
2. T, S, Lim, W. Y. Loh, and Y. S. Shih: A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms. Machine Learning Journal,. Vol. 40. Kluwer Academic (2000) 203-229 (http://www.stat.wise.edu/~loh/quest.html)
3. C. J. Merz, and P. M. Murphy: UCI Repository of Machine Learning Databases. Dept, of Information and Computer Science, Univ. of California, Irvine, CA (1996) (http://www.ics.uci.edu/-'mleam/MLRepository.html)
4. W. Banzhaf, J. R. Koza,. C. Ryan, L. Spector, and C. Jocob: Genetic Programming. IEEE Intelligent Systems Joumai, Vol. 17, No. 3 (2000) 74-84
5. M. Brameier, and W. Banzhaf: A Comparison of Linear Genetic Programming and Neural Networks. IEEE Trans, on Evolutionary Computation, Vol. 5. No. 1 (2001) 17-26
6. M. Brameier, and W. Banzhaf: Evolving Teams of Predicators with Linear Genetic Programming. Genetic Programming and Evolvable Machines, Vol. 2, (2001) 381-407
7. M. C. J: Bot. and W. B. Langdon: Application of Genetic Programming to Induction of Linear Classification Trees. Proc. of the European Conf. on Genetic Programming, (2000) 247-258
8. M. L. Wong, and K. S. Leung: Data Mining Using Grammar Based Genetic Programming and the Applications. Kluwer Academic (2001)
9. J. R. Koza: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press (1992)
10. W. Banzhaf, P. Nordin, R. E. Keller, and F. D. Francone: Generic Programming: An Introduction on the Automatic Evolution of Computer Programs and its Applications. Morgan Kaufmann (1998)
11. P. Nordin, F. Hoffmann, F. D. Francone, M. Brameier, and W. Banzhaf: AIM-GP and Parallelism. Proc. of IEEE Congress on Evolutionary Computation (1999) 1059-1066
12. K. S. Leung, K. H. Lee, and S. M. Cheang: Evolving Parallel Machine Programs for a Multi-ALU Processor. Proc. of IEEE Congress on Evolutionary Computation (2002) 1703-1708
13. K. S. Leung, K. H. Lee, and S. M. Cheang: Genetic Parallel Programming - Evolving Linear Machine Codes on a Multiple-ALU Processor. Proc. of International Conference on Intelligence in Engineering and Technology, Univ. Malaysia Sabah (2002) 207-213
14. K. S. Leung, K. H. Lee, and S. M. Cheang: Parallel Programs are More Evolvable than Sequential Programs. Proc. of European Conference on Genetic Programming, Spriner-Verlag (2003) 107-118
15. S. M. Cheang, K. H. Lee, and K. S. Leung: An Empirical Study of the Accelerating Phenomenon in Genetic Parallel Programming. Proc. of the 2003 Genetic and Evolutionary Computation Conference Late-Breaking papers, (2003) 54-61
16. T. Loveard, and V. Ciesielski: Representing Classification Problems in Genetic Programming, Proc. of the IEEE 2001 Congress on Evolutionary Computation (2001) 1070-1077
17. K. E. Kinnear: Generality and'Difficulty in Genetic Programming. Proc. of the Int. Conf. on Genetic Algorithms (1993) 287-294
18. R. E. Marmelstein, and G. B. Lamont: Pattern Classification Using a Hybrid Genetic Program - Decision Tree Approach. Proc. of the 3rd Ann. Genetic Programming Conf. (1998) 223-231