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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 3 months ago
MLS security policy evolution with genetic programming
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
Yow Tzu Lim, Pau-Chen Cheng, Pankaj Rohatgi, John ...
GECCO
2008
Springer
111views Optimization» more  GECCO 2008»
15 years 3 months ago
Multi-task code reuse in genetic programming
We propose a method of knowledge reuse between evolutionary processes that solve different optimization tasks. We define the method in the framework of tree-based genetic progra...
Wojciech Jaskowski, Krzysztof Krawiec, Bartosz Wie...
FGCS
2010
119views more  FGCS 2010»
15 years 14 days ago
Characterizing fault tolerance in genetic programming
Evolutionary Algorithms, including Genetic Programming (GP), are frequently employed to solve difficult real-life problems, which can require up to days or months of computation. ...
Daniel Lombraña Gonzalez, Francisco Fern&aa...
EUROGP
2005
Springer
114views Optimization» more  EUROGP 2005»
15 years 7 months ago
Repeated Patterns in Tree Genetic Programming
We extend our analysis of repetitive patterns found in genetic programming genomes to tree based GP. As in linear GP, repetitive patterns are present in large numbers. Size fair cr...
William B. Langdon, Wolfgang Banzhaf
ICCS
2004
Springer
15 years 7 months ago
Encoding Multiple Solutions in a Linear Genetic Programming Chromosome
Abstract. Linear Genetic Programming (LGP) is a Genetic Programming variant that uses linear chromosomes for solution encoding. Each LGP chromosome is a sequence of C language inst...
Mihai Oltean, Crina Grosan, Mihaela Oltean