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» A survey of mutation techniques in genetic programming
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CEC
2010
IEEE
13 years 5 months ago
Implementing an intuitive mutation operator for interactive evolutionary 3D design
Abstract— Locality - how well neighbouring genotypes correspond to neighbouring phenotypes - has been described as a key element in Evolutionary Computation. Grammatical Evolutio...
Jonathan Byrne, James McDermott, Edgar Galvá...
GECCO
1999
Springer
148views Optimization» more  GECCO 1999»
13 years 9 months ago
An Analysis of Automatic Subroutine Discovery in Genetic Programming
This paper analyses Rosca's ARL as a general framework for automatic subroutine discovery. We review and compare a number of heuristics for code selection, and experimentally...
Antonello Dessi, Antonella Giani, Antonina Starita
BMCBI
2004
158views more  BMCBI 2004»
13 years 5 months ago
Incremental genetic K-means algorithm and its application in gene expression data analysis
Background: In recent years, clustering algorithms have been effectively applied in molecular biology for gene expression data analysis. With the help of clustering algorithms suc...
Yi Lu, Shiyong Lu, Farshad Fotouhi, Youping Deng, ...
IEAAIE
2004
Springer
13 years 10 months ago
Modeling Intrusion Detection Systems Using Linear Genetic Programming Approach
This paper investigates the suitability of linear genetic programming (LGP) technique to model efficient intrusion detection systems, while comparing its performance with artificia...
Srinivas Mukkamala, Andrew H. Sung, Ajith Abraham
NC
1998
138views Neural Networks» more  NC 1998»
13 years 6 months ago
Parallel Adaptive Genetic Algorithm
In this paper we introduce an efficient implementation of asynchronously parallel genetic algorithm with adaptive genetic operators. The classic genetic algorithm paradigm is exte...
Leo Budin, Marin Golub, Domagoj Jakobovic