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EUROGP
2005
Springer
156views Optimization» more  EUROGP 2005»
14 years 1 months ago
Evolving Rules for Document Classification
We describe a novel method for using Genetic Programming to create compact classification rules based on combinations of N-Grams (character strings). Genetic programs acquire fitne...
Laurence Hirsch, Masoud Saeedi, Robin Hirsch
GECCO
2006
Springer
173views Optimization» more  GECCO 2006»
13 years 11 months ago
Pareto-coevolutionary genetic programming classifier
The conversion and extension of the Incremental ParetoCoevolution Archive algorithm (IPCA) into the domain of Genetic Programming classifier evolution is presented. In order to ac...
Michal Lemczyk, Malcolm I. Heywood
ISCI
2006
96views more  ISCI 2006»
13 years 7 months ago
A comparison of classification accuracy of four genetic programming-evolved intelligent structures
We investigate the effectiveness of GP-generated intelligent structures in classification tasks. Specifically, we present and use four context-free grammars to describe (1) decisi...
Athanasios Tsakonas
GECCO
1999
Springer
142views Optimization» more  GECCO 1999»
13 years 12 months ago
Towards Byte Code Genetic Programming
This paper uses the GP paradigm to evolve linear genotypes (individuals) that consist of Java byte code. Our prototype GP system is implemented in Java using a standard Java devel...
Brad Harvey, James A. Foster, Deborah A. Frincke
GECCO
2004
Springer
160views Optimization» more  GECCO 2004»
14 years 29 days ago
Finding Effective Software Metrics to Classify Maintainability Using a Parallel Genetic Algorithm
The ability to predict the quality of a software object can be viewed as a classification problem, where software metrics are the features and expert quality rankings the class lab...
Rodrigo A. Vivanco, Nicolino J. Pizzi