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115
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GECCO
2008
Springer
174views Optimization» more  GECCO 2008»
15 years 1 months ago
Mask functions for the symbolic modeling of epistasis using genetic programming
The study of common, complex multifactorial diseases in genetic epidemiology is complicated by nonlinearity in the genotype-to-phenotype mapping relationship that is due, in part,...
Ryan J. Urbanowicz, Nate Barney, Bill C. White, Ja...
GECCO
2008
Springer
122views Optimization» more  GECCO 2008»
15 years 1 months ago
Varying portfolio construction of stocks using genetic network programming with control nodes
A new evolutionary method named “Genetic Network Programming with Control Nodes, GNPcn” has been proposed and applied to determine the timing of buying and selling stocks. GNP...
Etsushi Ohkawa, Yan Chen, Shingo Mabu, Kaoru Shima...
INFORMS
2008
55views more  INFORMS 2008»
15 years 14 days ago
Mathematical Programming Algorithms for Two-Path Routing Problems with Reliability Considerations
Most traditional routing problems assume perfect operability of all arcs and nodes. However, when independent arc failure probabilities exist, a secondary objective must be presen...
April K. Andreas, J. Cole Smith
122
Voted
NETWORKS
2008
15 years 13 days ago
New dynamic programming algorithms for the resource constrained elementary shortest path problem
The resource-constrained elementary shortest path problem arises as a pricing subproblem in branch-and-price algorithms for vehicle routing problems with additional constraints. W...
Giovanni Righini, Matteo Salani
143
Voted
GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
14 years 10 months ago
Genetic programming for quantitative stock selection
We provide an overview of using genetic programming (GP) to model stock returns. Our models employ GP terminals (model decision variables) that are financial factors identified by...
Ying L. Becker, Una-May O'Reilly