Simple markov models of the genetic algorithm in classifier systems: Accuracy-based fitness

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

Volumn 1996, Issue , 2001, Pages 21-28

  Bull, Larry ^a  

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

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; GENETIC ALGORITHMS; HEALTH; MARKOV PROCESSES;

CLASSIFIER SYSTEMS; MARKOV MODEL; MICHIGAN; PREDICTION-BASED; RULE DISCOVERY; SINGLE-STEP; UTILITY MEASURE;

LEARNING SYSTEMS;

EID: 84942925564     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-44640-0_2     Document Type: Conference Paper

References (11)

1. Bull, L. (2000) Simple Markov Models of the Genetic Algorithm in Classifier Systems: Multistep Tasks. Submitted to IWLCS-2000
2. Bull, L., Hurst, J. & Tomlinson, A. (2000) Self-Adaptive Mutation in Classifier System Controllers. In J-A. Meyer, A. Berthor, D. Floreano, H. Roitblatt & S.W. Wilson (eds) From Animals to Animats 6-The Sixth International Conference on the Simulation of Adaptive Behaviour, MIT Press
3. Frey, P.W. & Slate, D.J. (1991) Letter Recognition using Holland-style Adaptive Classifiers. Machine Learning 6:161-182
4. Goldberg, D. & Segrest, P. (1987) Finite Markov Chain Analysis of Genetic Algorithms. In J.J. Grefenstette (ed.) Proceedings of the Second International Conference on Genetic Algorithms, Lawrence Erlbaum, pp1-7
5. Holland, J.H. (1975) Adaptation in Natural and Artificial Systems, University of Michigan Press
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7. Horn, J., Goldberg, D. & Deb, K. (1994) Implicit Niching in a Learning Classifier System: Nature’s Way. Evolutionary Computation, 2(1):37-65
8. Kovacs, T. (1996) XCS Classifier System Reliably Evolves Accurate, Complete, and Minimal Representations for Bollean Functions. Technical Report CSR-96-17 School of Computer Science, University of Birmingham, UK
9. Kovacs, T. (1999) Strength or Accuracy ? A Comparison of Two Approaches to Fitness Calculation in Learning Classifier Systems. In A.S. Wu (ed.) Proceedings of the 1999 Genetic and Evolutionary Computation Conference Workshop Program, Gecco, pp290-297
10. Lanzi, P-L. & Wilson, S.W. (1999) Optimal Classifier System Performance in Non-Markov Environments. Tech. Report N99.36 Dipartmento di Eletronica e Infromazione. Politecnico di Milano
11. Wilson, S.W. (1995) Classifier Fitness Based on Accuracy. Evolutionary Computation 3(2):149-177.