304 search results - page 12 / 61 » Exploiting problem structure in a genetic algorithm approach... |
TSP
2010
13 years 2 months ago
2010
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
CSCLP
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. In this paper we present a novel approach to solving Constraint Satisfaction Problems whose constraint graphs are highly clustered and the graph of clusters is close to b...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
A genetic algorithm (GA) is utilised to discover known and novel PROSITE-like sequence templates that can be used to classify the sub-cellular location of eukaryotic proteins. Whi...
ICMLA
2007
13 years 9 months ago
2007
Gene Expression Programming (GEP) is an evolutionary algorithm that incorporates both the idea of a simple, linear chromosome of fixed length used in Genetic Algorithms (GAs) and...
FBIT
2007
IEEE
14 years 2 months ago
2007
IEEE
—Standard genetic programming genotypes are generally highly disorganized and poorly structured, with little code replication. This is also true of existing developmental genetic...