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CEC
2011
IEEE
12 years 10 months ago
Cost-benefit analysis of using heuristics in ACGP
—Constrained Genetic Programming (CGP) is a method of searching the Genetic Programming search space non-uniformly, giving preferences to certain subspaces according to some heur...
John W. Aleshunas, Cezary Z. Janikow
CEC
2008
IEEE
14 years 4 months ago
Semantically driven crossover in genetic programming
—Crossover forms one of the core operations in genetic programming and has been the subject of many different investigations. We present a novel technique, based on semantic anal...
Lawrence Beadle, Colin G. Johnson
ICIC
2009
Springer
14 years 5 months ago
Function Sequence Genetic Programming
Genetic Programming(GP) can obtain a program structure to solve complex problem. This paper presents a new form of Genetic Programming, Function Sequence Genetic Programming (FSGP)...
Shixian Wang, Yuehui Chen, Peng Wu
EUROGP
2001
Springer
106views Optimization» more  EUROGP 2001»
14 years 2 months 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 3 months 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...