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COMPSAC
2000
IEEE
15 years 2 months ago
GAPS: A Genetic Programming System
Genetic programming tackles the issue of how to automatically create a working computer program for a given problem from some initial problem statement. The goal is accomplished i...
Michael D. Kramer, Du Zhang
PR
2000
103views more  PR 2000»
14 years 9 months ago
Genetic algorithm-based clustering technique
A genetic algorithm-based clustering technique, called GA-clustering, is proposed in this article. The searching capability of genetic algorithms is exploited in order to search f...
Ujjwal Maulik, Sanghamitra Bandyopadhyay
IJON
2006
146views more  IJON 2006»
14 years 9 months ago
Feature selection and classification using flexible neural tree
The purpose of this research is to develop effective machine learning or data mining techniques based on flexible neural tree FNT. Based on the pre-defined instruction/operator se...
Yuehui Chen, Ajith Abraham, Bo Yang
TSE
2011
144views more  TSE 2011»
14 years 4 months ago
Genetic Algorithms for Randomized Unit Testing
—Randomized testing is an effective method for testing software units. Thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such...
James H. Andrews, Tim Menzies, Felix Chun Hang Li
DATE
2004
IEEE
122views Hardware» more  DATE 2004»
15 years 1 months ago
Phase Coupled Code Generation for DSPs Using a Genetic Algorithm
The growing use of digital signal processors (DSPs) in embedded systems necessitates the use of optimizing compilers supporting special hardware features. Due to the irregular arc...
Markus Lorenz, Peter Marwedel