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» A New Crossover Operator for Genetic Algorithms
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CEC
2008
IEEE
14 years 2 months ago
A Quantum-inspired Genetic Algorithm for data clustering
—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...
Jing Xiao, YuPing Yan, Ying Lin, Ling Yuan, Jun Zh...
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
14 years 2 months ago
Three interconnected parameters for genetic algorithms
When an optimization problem is encoded using genetic algorithms, one must address issues of population size, crossover and mutation operators and probabilities, stopping criteria...
Pedro A. Diaz-Gomez, Dean F. Hougen
GECCO
2006
Springer
135views Optimization» more  GECCO 2006»
13 years 11 months ago
A tree-based genetic algorithm for building rectilinear Steiner arborescences
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...
William A. Greene
PPSN
1998
Springer
13 years 12 months ago
Multi-parent Recombination in Genetic Algorithms with Search Space Boundary Extension by Mirroring
In previous work, we have investigated real coded genetic algorithms with several types of multi-parent recombination operators and found evidence that multi-parent recombination w...
Shigeyoshi Tsutsui
CAEPIA
2003
Springer
14 years 26 days ago
A New Genetic Approach for the Partitioning Problem in Distributed Virtual Environment Systems
The Partitioning problem is a key issue in the design of Distributed Virtual Environment (DVE) systems based on a server-network architecture. This problem consist of efficiently ...
Pedro Morillo, Pedro López, Juan M. Ordu&nt...