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» Model selection in genetic programming
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CEC
2009
IEEE
14 years 23 hour ago
Using genetic programming to obtain implicit diversity
—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
Ulf Johansson, Cecilia Sönströd, Tuve L&...
EUROGP
2005
Springer
115views Optimization» more  EUROGP 2005»
14 years 2 months ago
Genetic Programming in Wireless Sensor Networks
Abstract. Wireless sensor networks (WSNs) are medium scale manifestations of a paintable or amorphous computing paradigm. WSNs are becoming increasingly important as they attain gr...
Derek M. Johnson, Ankur Teredesai, Robert T. Salta...
CPHYSICS
2006
127views more  CPHYSICS 2006»
13 years 8 months ago
GenAnneal: Genetically modified Simulated Annealing
A modification of the standard Simulated Annealing (SA) algorithm is presented for finding the global minimum of a continuous multidimensional, multimodal function. We report resu...
Ioannis G. Tsoulos, Isaac E. Lagaris
ICCSA
2007
Springer
13 years 10 months ago
Supplier Selection for a Newsboy Model with Budget and Service Level Constraints
A style dress outlet usually purchases products from multiple suppliers with different cost, quality and selling price. It is assumed that some suppliers will sell their goods to t...
P. C. Yang, H. M. Wee, Erwie Zahara, S. H. Kang, Y...
GECCO
2003
Springer
137views Optimization» more  GECCO 2003»
14 years 1 months ago
The Spatially-Dispersed Genetic Algorithm
Abstract. Spatially structured population models improve the performance of genetic algorithms by assisting the selection scheme in maintaining diversity. A significant concern wi...
Grant Dick