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EUROGP
2001
Springer
106views Optimization» more  EUROGP 2001»
14 years 23 hour ago
Linear-Tree GP and Its Comparison with Other GP Structures
Abstract. In recent years different genetic programming (GP) structures have emerged. Today, the basic forms of representation for genetic programs are tree, linear and graph stru...
Wolfgang Kantschik, Wolfgang Banzhaf
GECCO
2004
Springer
169views Optimization» more  GECCO 2004»
14 years 28 days ago
Genetic Programming Neural Networks as a Bioinformatics Tool for Human Genetics
The identification of genes that influence the risk of common, complex diseases primarily through interactions with other genes and environmental factors remains a statistical and ...
Marylyn D. Ritchie, Christopher S. Coffey, Jason H...
EUROGP
2005
Springer
114views Optimization» more  EUROGP 2005»
14 years 1 months ago
Genetic Transposition in Tree-Adjoining Grammar Guided Genetic Programming: The Duplication Operator
Nguyen Xuan Hoai, Robert I. McKay, Daryl Essam, Tu...
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 1 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
CEC
2009
IEEE
14 years 2 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