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GECCO
2009
Springer
156views Optimization» more  GECCO 2009»
14 years 3 months ago
Characterizing the genetic programming environment for fifth (GPE5) on a high performance computing cluster
Solving complex, real-world problems with genetic programming (GP) can require extensive computing resources. However, the highly parallel nature of GP facilitates using a large n...
Kenneth Holladay
GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
13 years 10 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner
WABI
2010
Springer
178views Bioinformatics» more  WABI 2010»
13 years 7 months ago
Haplotype Inference on Pedigrees with Recombinations and Mutations
Abstract. Haplotype Inference (HI) is a computational challenge of crucial importance in a range of genetic studies, such as functional genomics, pharmacogenetics and population ge...
Yuri Pirola, Paola Bonizzoni, Tao Jiang
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 3 months ago
On the behavioral diversity of random programs
Generating a random sampling of program trees with specified function and terminal sets is the initial step of many program evolution systems. I present a theoretical and experim...
Moshe Looks
ICCV
2009
IEEE
13 years 6 months ago
An algorithm for minimizing the Mumford-Shah functional
In this work we revisit the Mumford-Shah functional, one of the most studied variational approaches to image segmentation. The contribution of this paper is to propose an algorith...
Thomas Pock, Daniel Cremers, Horst Bischof, Antoni...