3165 search results - page 323 / 633 » Introduction to genetic algorithms |
203
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KDD
2009
ACM
15 years 11 months ago
2009
ACM
We develop and evaluate an approach to causal modeling based on time series data, collectively referred to as“grouped graphical Granger modeling methods.” Graphical Granger mo...
214
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ASPLOS
2011
ACM
14 years 10 months ago
2011
ACM
Graphics processing units (GPUs) provide a low cost platform for accelerating high performance computations. The introduction of new programming languages, such as CUDA and OpenCL...
184
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GECCO
2003
Springer
15 years 12 months ago
2003
Springer
The performance of genetic programming relies mostly on population-contained variation. If the population diversity is low then there will be a greater chance of the algorithm bein...
161
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GECCO
2005
Springer
16 years 6 days ago
2005
Springer
We hypothesize that the relationship between parameter settings, speci cally parameters controlling mutation, and performance is non-linear in genetic programs. Genetic programmin...
186
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FUZZIEEE
2007
IEEE
15 years 10 months ago
2007
IEEE
Abstract-- This paper presents a comparison of three different design concepts for Genetic Fuzzy systems. We apply a Symbiotic Evolution that uses the Michigan approach and two app...