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CIBCB
2007
IEEE
13 years 9 months ago
Optimization of Bacterial Strains with Variable-Sized Evolutionary Algorithms
—In metabolic engineering it is difficult to identify which set of genetic manipulations will result in a microbial strain that achieves a desired production goal, due to the co...
Miguel Rocha, José P. Pinto, Isabel Rocha, ...
GECCO
2003
Springer
14 years 27 days ago
Pruning Neural Networks with Distribution Estimation Algorithms
Abstract. This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algor...
Erick Cantú-Paz
IJMC
2006
84views more  IJMC 2006»
13 years 7 months ago
Using a genetic algorithm approach to solve the dynamic channel-assignment problem
: The Channel Assignment Problem is an NP-complete problem to assign a minimum number of channels under certain constraints to requested calls in a cellular radio system. Examples ...
Xiannong Fu, Anu G. Bourgeois, Pingzhi Fan, Yi Pan
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
GECCO
2005
Springer
14 years 1 months ago
Optimizing parameters of a mobile ad hoc network protocol with a genetic algorithm
Mobile ad hoc networks are typically designed and evaluated in generic simulation environments. However the real conditions in which these networks are deployed can be quite diff...
David J. Montana, Jason Redi