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» Model selection in genetic programming
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AIEDAM
2008
127views more  AIEDAM 2008»
13 years 8 months ago
Evolving blackbox quantum algorithms using genetic programming
Although it is known that quantum computers can solve certain computational problems exponentially faster than classical computers, only a small number of quantum algorithms have ...
Ralf Stadelhofer, Wolfgang Banzhaf, Dieter Suter
CCGRID
2010
IEEE
13 years 9 months ago
Selective Recovery from Failures in a Task Parallel Programming Model
Abstract--We present a fault tolerant task pool execution environment that is capable of performing fine-grain selective restart using a lightweight, distributed task completion tr...
James Dinan, Arjun Singri, P. Sadayappan, Sriram K...
SAC
2004
ACM
14 years 2 months ago
An improved hybrid genetic algorithm for the generalized assignment problem
We consider the generalized assignment problem in which the objective is to find a minimum cost assignment of a set of jobs to a set of agents subject to resource constraints. Th...
Harald Feltl, Günther R. Raidl
BIOINFORMATICS
2006
106views more  BIOINFORMATICS 2006»
13 years 8 months ago
Identification of biochemical networks by S-tree based genetic programming
Motivation: Most previous approaches to model biochemical networks havefocusedeither on the characterization of a networkstructurewith a number of components or on the estimation ...
Dong-Yeon Cho, Kwang-Hyun Cho, Byoung-Tak Zhang
GECCO
2007
Springer
141views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolving robust GP solutions for hedge fund stock selection in emerging markets
Abstract Stock selection for hedge fund portfolios is a challenging problem for Genetic Programming (GP) because the markets (the environment in which the GP solution must survive)...
Wei Yan, Christopher D. Clack