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» Optimization via Parameter Mapping with Genetic Programming
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GECCO
2008
Springer
141views Optimization» more  GECCO 2008»
13 years 9 months ago
Managing team-based problem solving with symbiotic bid-based genetic programming
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
Peter Lichodzijewski, Malcolm I. Heywood
GECCO
2007
Springer
138views Optimization» more  GECCO 2007»
14 years 2 months ago
Unwitting distributed genetic programming via asynchronous JavaScript and XML
The success of a genetic programming system in solving a problem is often a function of the available computational resources. For many problems, the larger the population size an...
Jon Klein, Lee Spector
ICML
2007
IEEE
14 years 9 months ago
Discriminant kernel and regularization parameter learning via semidefinite programming
Regularized Kernel Discriminant Analysis (RKDA) performs linear discriminant analysis in the feature space via the kernel trick. The performance of RKDA depends on the selection o...
Jieping Ye, Jianhui Chen, Shuiwang Ji
GECCO
2005
Springer
135views Optimization» more  GECCO 2005»
14 years 2 months ago
Parameter sweeps for exploring GP parameters
This paper describes our procedure and a software application for conducting large parameter sweep experiments in genetic and evolutionary computation research. Both procedure and...
Michael E. Samples, Jason M. Daida, Matthew J. Byo...
EUROGP
2005
Springer
117views Optimization» more  EUROGP 2005»
14 years 2 months ago
Extending Particle Swarm Optimisation via Genetic Programming
Abstract. Particle Swarm Optimisers (PSOs) search using a set of interacting particles flying over the fitness landscape. These are typically controlled by forces that encourage ...
Riccardo Poli, William B. Langdon, Owen Holland