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GECCO
2009
Springer
148views Optimization» more  GECCO 2009»
15 years 4 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
SC
2000
ACM
15 years 11 months ago
Scalable Algorithms for Adaptive Statistical Designs
We present a scalable, high-performance solution to multidimensional recurrences that arise in adaptive statistical designs. Adaptive designs are an important class of learning al...
Robert H. Oehmke, Janis Hardwick, Quentin F. Stout
EMO
2005
Springer
126views Optimization» more  EMO 2005»
16 years 4 days ago
The Evolution of Optimality: De Novo Programming
Abstract. Evolutionary algorithms have been quite effective in dealing with single-objective “optimization” while the area of Evolutionary Multiobjective Optimization (EMOO) h...
Milan Zeleny
SOFTCO
2004
Springer
15 years 12 months ago
Designing Neural Networks Using Gene Expression Programming
Abstract. An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, severa...
Cândida Ferreira
BROADNETS
2006
IEEE
16 years 20 days ago
Design and Dimensioning of a Novel composite-star WDM Network with TDM Channel Partitioning
— This paper presents the design and dimensioning optimization of a novel optical network structure, called the Petaweb, having a total capacity of several Pb/s (1015 bit/s). Its...
Stefano Secci, Brunilde Sansò