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GECCO
2005
Springer

Parameter sweeps for exploring GP parameters

10 years 8 days 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 software allows a researcher to examine multivariate nonlinearities that are common in genetic and evolutionary computation. Experiments of this nature are well suited to distributed computing environments (such as Grids and clusters) and we present an automated system for conducting parameter sweep experiments on heterogeneous networks. Emphasis is placed on experimental sampling, distributed robustness, and data analysis. The parameter sweep experimental procedure is easily applicable to any experiment involving computer simulations but is particularly well suited for evolutionary computation experiments. Categories and Subject Descriptors I.6.7—Simulation Support Systems Environments; I.2.2— Automatic Programming Program Synthesis General Terms Experimentation, Algorithms, Performance Keywords Paramet...
Michael E. Samples, Jason M. Daida, Matthew J. Byo
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where GECCO
Authors Michael E. Samples, Jason M. Daida, Matthew J. Byom, Matt Pizzimenti
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