A self-adaptive XCS

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2321, Issue , 2002, Pages 57-73

  Hurst, Jacob ^a   Bull, Larry ^a  

^a UNIVERSITY OF THE WEST OF ENGLAND   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; PATTERN RECOGNITION SYSTEMS; WOOD;

ADAPTIVE MUTATION; CONTROL PARAMETERS; EVOLUTIONARY STRATEGIES; LEARNING CLASSIFIER SYSTEM; LOSS OF PERFORMANCE; SELF-ADAPTIVE MUTATION; TRUNCATED VERSIONS; XCS CLASSIFIER SYSTEMS;

REINFORCEMENT LEARNING;

EID: 84949207590     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48104-4_5     Document Type: Conference Paper

References (18)

1. Angeline, P.J., Fogel, D.B., and Fogel, L.J. (1996) A Comparison of Self-Adaption Methods for Finite State Machines in a Dynamic Environment. In Fogel, L.J, Angeline, P.J, and Back, T. (eds.) Evolutionary Programming V, Springer Press, pp 441-449
2. Bäck, T. (1992) Self-Adaptation in Genetic Algorithms. In F.J.Varela and P.Bourgine (eds.) Toward a Practice of Autonomous Systems: Proceedings of the First European Conference on Artificial Life, MIT Press, pp. 263-271.
3. Barry, A. (2001) The stability of long action chins in XCS to appear in Special Issue Journal of Soft Computing on LCS (eds.) Bull, L and Lanzi, P.L Springer
4. Bull, L., Hurst, L. (2000) Self Adaptive Mutation in ZCS controllers. In Cagnoni, S., Poli, R., Smith, G. Corne, D., Oates, M., Hart, E., Lanzi, P-L, Willem, Li, Y., Paecther, B., and Fogarty, T. (eds.) Real-World Applications of Evolutionary Computing: Proceedings of the Fifth IEEE Conference on Evolutionary Computation, Springer Press pp446-451
5. Bull, L., Hurst, J., and Tomlinson, A. (2000) Self-Adaptive Mutation in Classifier System Controllers. In J.-A. Meyer, A. Berthoz, D. Floreano, H. Roitblatt and S.W. Wilson (eds.) From Animals to Animats 6 - The Sixth International Conference on the Simulation of Adaptive Behaviour, MIT Press.
6. Butz, M.V. and Wilson, S.W. 2001 to appear in (eds.) Lanzi, P.L, Stolzmann, W. and Wilson, S.W., Advances in Learning Classifier Systems. Third International Workshop (IWLCS 2000)
7. Cliff, D. and Ross, S. (1995) Adding Temporary memory to ZCS, Adaptive Behavior, 3(2):101-150.
8. Fogel, D.B. (1992) Evolving Artificial Intelligence. PhD dissertation, University of California.
9. Frey, P.W and Slate, D.J (1991) Letter Recognition using Holland-style Adaptive Classifiers. Machine Learning 6:161-182
10. Hartley, A (1999) Accuracy-based fitness allows similar performance to humans in static and dynamic classification Environments. In Banzhurf, W., Daidu, J., Eiben, A., Garzon, M., Honavar, V., and Jakiela, M, Simth, R., (eds.) Proceedings of the Genetic and Evolutionary Computation Conference 1999. Morgan Kauffmann pp. 266-274
11. Holland, J.H. (1975) Adaptation in Natural and Artificial Systems. University of Michigan Press.
12. Hurst, J. and Bull, L. (2001) A Self-Adaptive Classifier System. In P.-L. Lanzi, W. Stolzmann and S. Wilson (eds.) Proceedings of the Third International Workshop on Learning Classifier Systems.
13. Kovacs, T. (2000) Strength or Accuracy? Fitness Calculation in learning classifier systems. In P-L. Lanzi, W. Stolzmann, and S. Wilson (eds.) Learning Classifier Systems: From Foundations to Applications, Springer pp. 143-160
14. Koza, J.R. (1991) Genetic Programming. MIT Press
15. Lanzi, P.L. (1997) A Model of the Environment to Avoid Local Learning. Technical Report N.97.46, Dipartimento di Elettronica E Informazione, Politecnio di Milano, Italia
16. Rechenberg, I (1973) Evolutionsstrategie; Optimierung technischer Systeme nach Prinzipen der biologischen Evolution. Frommann-Holzboog Verlag.
17. Wilson, S.W. (1994) ZCS: A Zeroth-level Classifier System. Evolutionary Computation 2(1):1-18
18. Wilson, S.W. (1995) Classifier fitness based on Accuracy. Evolutionary Computation 3(2):149-177