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EUROGP
2007
Springer
143views Optimization» more  EUROGP 2007»
15 years 8 months ago
Confidence Intervals for Computational Effort Comparisons
Abstract. When researchers make alterations to the genetic programming algorithm they almost invariably wish to measure the change in performance of the evolutionary system. No one...
Matthew Walker, Howard Edwards, Chris H. Messom
GECCO
2000
Springer
123views Optimization» more  GECCO 2000»
15 years 8 months ago
Genomic computing: explanatory modelling for functional genomics
Many newly discovered genes are of unknown function. DNA microarrays are a method for determining the expression levels of all genes in an organism for which a complete genome seq...
Richard J. Gilbert, Jem J. Rowland, Douglas B. Kel...
EUROGP
2008
Springer
15 years 6 months ago
Evolving Proactive Aggregation Protocols
We present an approach for the automated synthesis of proactive aggregation protocols using Genetic Programming and discuss major decisions in modeling and simulating distributed a...
Thomas Weise, Michael Zapf, Kurt Geihs
ESANN
2006
15 years 6 months ago
Optimal design of hierarchical wavelet networks for time-series forecasting
The purpose of this study is to identify the Hierarchical Wavelet Neural Networks (HWNN) and select important input features for each sub-wavelet neural network automatically. Base...
Yuehui Chen, Bo Yang, Ajith Abraham
PLDI
2004
ACM
15 years 10 months ago
Fast searches for effective optimization phase sequences
It has long been known that a fixed ordering of optimization phases will not produce the best code for every application. One approach for addressing this phase ordering problem ...
Prasad Kulkarni, Stephen Hines, Jason Hiser, David...