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PAKDD
2007
ACM
203views Data Mining» more  PAKDD 2007»
14 years 1 months ago
Grammar Guided Genetic Programming for Flexible Neural Trees Optimization
Abstract. In our previous studies, Genetic Programming (GP), Probabilistic Incremental Program Evolution (PIPE) and Ant Programming (AP) have been used to optimal design of Flexibl...
Peng Wu, Yuehui Chen
ICMLA
2007
13 years 9 months ago
Improving gene expression programming performance by using differential evolution
Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
Qiongyun Zhang, Chi Zhou, Weimin Xiao, Peter C. Ne...
AAAI
2008
13 years 10 months ago
Efficient Haplotype Inference with Answer Set Programming
Identifying maternal and paternal inheritance is essential to be able to find the set of genes responsible for a particular disease. Although we have access to genotype data (gene...
Esra Erdem, Ferhan Türe
GECCO
2005
Springer
127views Optimization» more  GECCO 2005»
14 years 1 months ago
Investigating the performance of module acquisition in cartesian genetic programming
Embedded Cartesian Genetic Programming (ECGP) is a form of the graph based Cartesian Genetic Programming (CGP) in which modules are automatically acquired and evolved. In this pap...
James Alfred Walker, Julian Francis Miller
GECCO
2009
Springer
190views Optimization» more  GECCO 2009»
13 years 11 months ago
Genetic programming for protein related text classification
Since the genomics revolution, bioinformatics has never been so popular. Many researchers have investigated with great success the use of evolutionary computation in bioinformatic...
Marc Segond, Cyril Fonlupt, Denis Robilliard