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Abstract: This paper presents a parameter study of our Compressed Linear Genetic Programming (cl-GP) using the Even-n-parity problem. A cl-GP system is a linear genetic programming (GP) which uses substring compression as a modularization scheme. Despite the fact that the compression of substrings assumes a tight linkage between alleles, this approach improves the search process. The compression of the genotype, which is a form of linkage learning, provides both a protection mechanism and a form of... (Update)
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BibTeX entry: (Update)
@misc{ johan-compressed,
author = "Even-N-Parity Problem Johan",
title = "Compressed Linear Genetic Programming: empirical parameter study on the",
url = "citeseer.ist.psu.edu/744200.html" }
Citations (may not include all citations):471 Genetic Programming - Koza, Goldberg et al. - 1996
77 Coevolving high-level representations - Angeline, Pollack - 1992
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25 Hierarchical selforganization in genetic programming - Rosca, Ballard - 1994
23 Stack-based genetic programming - Perkis - 1994
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5 Coevolving functions in genetic programming (context) - Ahluwalia, Bull - 2001
4 and repetition in variable-length problems (context) - de Jong, Thierens et al.
3 Modularization by multi-run frequency driven subtree encapsu.. (context) - Howard - 2003
3 Evolving modules in genetic programming by subtree encapsula.. (context) - Roberts, Howard et al. - 2001
2 Effective linear genetic programming - Brameier, Banzhaf - 2001
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Addressing the Even-n-parity problem using Compressed - Linear Genetic Programming (Correct)
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