Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-Based Fitness-Reference-Cited by-同舟云学术

Simple Markov Models of the Genetic Algorithm in Classifier Systems: Accuracy-Based Fitness

Published:2001 Issue: Volume: Page:21-28
ISSN:0302-9743
Container-title:Advances in Learning Classifier Systems
language:
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Author:

Bull Larry

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/3-540-44640-0_2

Reference11 articles.

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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