76 search results - page 7 / 16 » Optimal Interaction of Mutation and Crossover in the Breeder... |
FOGA
1998
13 years 10 months ago
1998
Genetic algorithms (GAs) are multi-dimensional and stochastic search methods, involving complex interactions among their parameters. For last two decades, researchers have been tr...
CEC
2008
IEEE
14 years 3 months ago
2008
IEEE
—The conventional K-Means clustering algorithm must know the number of clusters in advance and the clustering result is sensitive to the selection of the initial cluster centroid...
GECCO
2009
Springer
14 years 3 months ago
2009
Springer
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
GECCO
2006
Springer
14 years 6 days ago
2006
Springer
A rectilinear Steiner arborescence (RSA) is a tree, whose nodes include a prescribed set of points, termed the vertices, in the first quadrant of the Cartesian plane, and whose tr...
ISCI
2007
13 years 8 months ago
2007
The social foraging behavior of Escherichia coli bacteria has been used to solve optimization problems. This paper proposes a hybrid approach involving genetic algorithms (GA) and...