Sciweavers

640 search results - page 9 / 128
» Learning Programs in Different Paradigms using Genetic Progr...
Sort
View
CEC
2009
IEEE
14 years 3 months ago
Semantically driven mutation in genetic programming
—Using semantic analysis, we present a technique known as semantically driven mutation which can explicitly detect and apply behavioural changes caused by the syntactic changes i...
Lawrence Beadle, Colin G. Johnson
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolving controllers for simulated car racing using object oriented genetic programming
Several different controller representations are compared on a non-trivial problem in simulated car racing, with respect to learning speed and final fitness. The controller rep...
Alexandros Agapitos, Julian Togelius, Simon M. Luc...
BMCBI
2008
151views more  BMCBI 2008»
13 years 8 months ago
Application of the Linux cluster for exhaustive window haplotype analysis using the FBAT and Unphased programs
Background: Genetic association studies have been used to map disease-causing genes. A newly introduced statistical method, called exhaustive haplotype association study, analyzes...
Hiroyuki Mishima, Andrew C. Lidral, Jun Ni
CEC
2005
IEEE
14 years 2 months ago
Linear genetic programming using a compressed genotype representation
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 t...
Johan Parent, Ann Nowé, Kris Steenhaut, Ann...
IDEAL
2005
Springer
14 years 2 months ago
Co-evolutionary Rule-Chaining Genetic Programming
Abstract. A novel Genetic Programming (GP) paradigm called Coevolutionary Rule-Chaining Genetic Programming (CRGP) has been proposed to learn the relationships among attributes rep...
Wing-Ho Shum, Kwong-Sak Leung, Man Leung Wong