Improving genetic search in XCS-based classifier systems through understanding the evolvability of classifier rules
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-014-1369-7.pdf
Reference31 articles.
1. Altenberg L (1994) The evolution of evolvability in genetic programming. In: Advances in genetic programming. MIT Press, Massachusetts, pp 47–74
2. Behdad M, Barone L, French T, Bennamoun M (2012) On XCSR for electronic fraud detection. Evol Intell 5(2):139–150
3. Bull L (2004) Applications of learning classifier systems. Springer, Heidelberg
4. Bull L, Kovacs T (2005) Foundations of learning classifier systems: an introduction. Springer, Berlin
5. Butz MV (2006) Rule-based evolutionary online learning systems: a principal approach to lcs analysis and design. Springer, Berlin
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