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» Model selection in genetic programming
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GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
14 years 2 months ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
BMCBI
2008
186views more  BMCBI 2008»
13 years 8 months ago
Variable selection for large p small n regression models with incomplete data: Mapping QTL with epistases
Background: Identifying quantitative trait loci (QTL) for both additive and epistatic effects raises the statistical issue of selecting variables from a large number of candidates...
Min Zhang, Dabao Zhang, Martin T. Wells
GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
14 years 2 months ago
Another investigation on tournament selection: modelling and visualisation
Tournament selection has been widely used and studied in evolutionary algorithms. To supplement the study of tournament selection, this paper provides several models describing th...
Huayang Xie, Mengjie Zhang, Peter Andreae
IPPS
2006
IEEE
14 years 2 months ago
Parallel genetic algorithm for SPICE model parameter extraction
Models of simulation program with integrated circuit emphasis (SPICE) are currently playing a central role in the connection between circuit design and chip fabrication communitie...
Yiming Li, Yen-Yu Cho
AIEDAM
2008
157views more  AIEDAM 2008»
13 years 9 months ago
Evolutionary synthesis of kinematic mechanisms
This paper discusses the application of genetic programming to the synthesis of compound two-dimensional kinematic mechanisms, and benchmarks the results against one of the classi...
Hod Lipson