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HEURISTICS
2007
66views more  HEURISTICS 2007»
13 years 5 months ago
Improving crossover operator for real-coded genetic algorithms using virtual parents
Domingo Ortiz-Boyer, César Hervás-Ma...
AE
2007
Springer
13 years 12 months ago
A Study of Crossover Operators for Gene Selection of Microarray Data
Classification of microarray data requires the selection of a subset of relevant genes in order to achieve good classification performance. Several genetic algorithms have been d...
Jose Crispin Hernandez Hernandez, Béatrice ...
GECCO
1999
Springer
126views Optimization» more  GECCO 1999»
13 years 10 months ago
Improving Genetic Algorithms by Search Space Reductions (with Applications to Flow Shop Scheduling)
Crossover operators that preserve common components can also preserve representation level constraints. Consequently, these constraints can be used to beneficially reduce the sea...
Stephen Y. Chen, Stephen F. Smith
GECCO
2009
Springer
133views Optimization» more  GECCO 2009»
13 years 3 months ago
Improved analysis methods for crossover-based algorithms
We deepen the theoretical analysis of the genetic algorithm for the all-pairs shortest path problem proposed by Doerr, Happ and Klein (GECCO 2008). We show that the growth of the ...
Benjamin Doerr, Madeleine Theile
GECCO
2007
Springer
178views Optimization» more  GECCO 2007»
13 years 12 months ago
Discussion of parallel model of multi-objective genetic algorithms on heterogeneous computational resources
— In this paper, a parallel model of multi-objective genetic algorithm supposing a grid environment is discussed. In this proposed parallel model, we extended master-slave model ...
Tomoyuki Hiroyasu, Kengo Yoshii, Mitsunori Miki