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» Adapting binary fitness functions in Genetic Algorithms
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64
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AE
2007
Springer
15 years 3 months ago
The Cooperative Royal Road: Avoiding Hitchhiking
We propose using the so called Royal Road functions as test functions for cooperative co-evolutionary algorithms (CCEAs). The Royal Road functions were created in the early 90’s ...
Gabriela Ochoa, Evelyne Lutton, Edmund K. Burke
GECCO
2006
Springer
124views Optimization» more  GECCO 2006»
15 years 1 months ago
On evolving buffer overflow attacks using genetic programming
In this work, we employed genetic programming to evolve a "white hat" attacker; that is to say, we evolve variants of an attack with the objective of providing better de...
Hilmi Günes Kayacik, Malcolm I. Heywood, A. N...
83
Voted
CGO
2005
IEEE
15 years 3 months ago
Optimizing Sorting with Genetic Algorithms
The growing complexity of modern processors has made the generation of highly efficient code increasingly difficult. Manual code generation is very time consuming, but it is oft...
Xiaoming Li, María Jesús Garzar&aacu...
90
Voted
APBC
2004
116views Bioinformatics» more  APBC 2004»
14 years 11 months ago
Evolving Genetic Regulatory Networks Using an Artificial Genome
Boolean models of genetic regulatory networks (GRNs) have been shown to exhibit many of the characteristic dynamics of real GRNs, with gene expression patterns settling to point a...
Jennifer Hallinan, Janet Wiles
85
Voted
CEC
2010
IEEE
14 years 7 months ago
Active Learning Genetic programming for record deduplication
The great majority of genetic programming (GP) algorithms that deal with the classification problem follow a supervised approach, i.e., they consider that all fitness cases availab...
Junio de Freitas, Gisele L. Pappa, Altigran Soares...