Johan Parent IR, ETRO Pleinlaan 2 1050 Brussel, BELGIUM  Home/Search
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Abstract: This paper presents a modularization strategy for linear genetic programming (GP) based on a substring compression/substitution scheme. The purpose of this substitution scheme is to protect building blocks and is in other words a form of learning linkage. The compression of the genotype provides both a protection mechanism and a form of genetic code reuse. This paper presents results for synthetic genetic algorithm (GA) reference problems like SEQ and OneMax as well as several standard GP... (Update)
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BibTeX entry: (Update)
@misc{ ir-linear,
author = "Johan Parent Ir",
title = "Linear Genetic Programming using a compressed genotype representation",
url = "citeseer.ist.psu.edu/741744.html" }
Citations (may not include all citations):471 Genetic Programming - Koza, Goldberg et al. - 1996
77 Coevolving high-level representations - Angeline, Pollack - 1992
33 The evolutionary induction of subroutines (context) - Angeline, Pollack - 1992
25 Hierarchical selforganization in genetic programming - Rosca, Ballard - 1994
23 Stack-based genetic programming - Perkis - 1994
21 On Crossover as an Evolutionary Viable Strategy (context) - Schaffer, Eshelman - 1991
12 stack-based genetic programming (context) - Stoffel, Spector et al. - 1996
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
1 Evolving compression preprocessors with genetic programming - Parent, Nowe - 2002
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