A hybrid PSO/ACO algorithm for classification

Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference, Companion Material

Volumn , Issue , 2007, Pages 2745-2750

  Holden, Nicholas Paul ^a   Freitas, Alex A ^a  

^a UNIVERSITY OF KENT   (United Kingdom)

Author keywords

Ant colony optimisation; Classification; Data mining; Particle swarm optimization; Rule induction

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; DATABASE SYSTEMS; LOGIC PROGRAMMING; PROBLEM SOLVING;

ANT COLONY OPTIMIZATION; NOMINAL VARIABLES; PARTICLE SWARM OPTIMIZATION; RULE INDUCTION;

ALGORITHMS;

EID: 34548079759     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1274000.1274080     Document Type: Conference Paper

References (12)

1. D. Bratton and J. Kennedy. Defining a Standard for P article Swarm Optimization. Proceedings of the 2007 IEEE Swarm Intelligence Symposium, Honolulu, Hawaii, USA, April 2007.
2. P. Clark and R. Boswell. Rule induction with CN2: Some recent improvements. Machine Learning - EWSL-91, pp. 151-163, Berlin, 1991.
3. U.M. Fayyad, G. Piatetsky-Shapiro and P. Smyth. From data mining to knowledge discovery: an overview, Advances in Knowledge Discovery and Data Mining, AAAI/MIT, pp. 1-34, 1996.
4. D.J. Hand. Construction and Assessment of Classification Rules. Wiley, 1997.
5. N. Holden and A.A. Freitas. A hybrid particle swarm/ant colony algorithm for the classification of hierarchical biological data. In: Proc. 2005 IEEE Swarm Intelligence Symposium (SIS-05), pp. 100-107, IEEE, 2005.
6. N. Holden and A.A. Freitas. Hierarchical Classification of G-Protein-CoupledReceptors with a PSO/ACO Algorithm. In: Proc. IEEE Swarm Intelligence Symposium (SIS-06), pp. 77-84. IEEE, 2006.
7. J. Kennedy and R. Mendes, Population structure and particle swarm performance. Proceedings of the IEEE Congress on Evolutionary Computation (CEC 2002), Honolulu, Hawaii USA. 2002
8. J. Kennedy and R. C Eberhart, with Y. Shi. Swarm Intelligence, San Francisco: Morgan Kaufmann/Academic Press, 2001.1
9. D.J. Newman, S. Hettich, C.L. Blake and C.J. Merz (1998). UCI Repository of machine learning databases [http://www.ics.uci.edu/~mlearn/ MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.
10. R.S. Parpinelli, H.S. Lopes and A.A. Freitas. Data Mining with an Ant Colony Optimization Algorithm, IEEE Trans. on Evolutionary Computation, special issue on Ant Colony algorithms, 6(4), pp. 321-332, Aug 2002.
11. T. Sousa, A. Silva, A. Neves, Particle Swarm based Data Mining Algorithms for classification tasks, Parallel Computing 30, pp. 767-783, 2004.
12. I.H. Witten, E. Frank, Data Mining: Practical machine learning tools and techniques, 2nd Edition, Morgan Kaufmann, San Francisco, CA, 2005.