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» A (Somewhat) New Solution to the Variable Binding Problem
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GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 1 months ago
The LEM3 implementation of learnable evolution model and its testing on complex function optimization problems
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
Janusz Wojtusiak, Ryszard S. Michalski
ANOR
2006
133views more  ANOR 2006»
14 years 9 months ago
An integrated model for logistics network design
In this paper we introduce a new formulation of the logistics network design problem encountered in deterministic, single-country, single-period contexts. Our formulation is flexi...
Jean-François Cordeau, Federico Pasin, Mari...
MONET
2011
14 years 4 months ago
On Adaptive Density Deployment to Mitigate the Sink-Hole Problem in Mobile Sensor Networks
Abstract The use of mobile sensors is of great relevance to monitor critical areas where sensors cannot be deployed manually. The presence of data collector sinks causes increased ...
Novella Bartolini, Tiziana Calamoneri, Annalisa Ma...
CEC
2010
IEEE
14 years 9 months ago
Cooperative Co-evolution with delta grouping for large scale non-separable function optimization
— Many evolutionary algorithms have been proposed for large scale optimization. Parameter interaction in nonseparable problems is a major source of performance loss specially on ...
Mohammad Nabi Omidvar, Xiaodong Li, Xin Yao
84
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BMCBI
2007
137views more  BMCBI 2007»
14 years 9 months ago
Bayesian refinement of protein functional site matching
Background: Matching functional sites is a key problem for the understanding of protein function and evolution. The commonly used graph theoretic approach, and other related appro...
Kanti V. Mardia, Vysaul B. Nyirongo, Peter J. Gree...