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GECCO
2006
Springer
265views Optimization» more  GECCO 2006»
15 years 7 months ago
Cutting stock waste reduction using genetic algorithms
A new model for the One-dimensional Cutting Stock problem using Genetic Algorithms (GA) is developed to optimize construction steel bars waste. One-dimensional construction stocks...
Yaser M. A. Khalifa, O. Salem, A. Shahin
131
Voted
WSC
2008
15 years 6 months ago
Simulation optimization for industrial scheduling using hybrid genetic representation
Simulation modeling has the capability to represent complex real-world systems in details and therefore it is suitable to develop simulation models for generating detailed operati...
Marcus Andersson, Amos Ng, Henrik Grimm
211
Voted
ECSA
2011
Springer
14 years 3 months ago
Delta-oriented architectural variability using MontiCore
Modeling of software architectures is a fundamental part of software development processes. Reuse of software components and early analysis of software topologies allow the reduct...
Arne Haber, Thomas Kutz, Holger Rendel, Bernhard R...
125
Voted
SECON
2008
IEEE
15 years 10 months ago
Adaptive Radio Modes in Sensor Networks: How Deep to Sleep?
—Energy-efficient performance is a central challenge in sensor network deployments, and the radio is a major contributor to overall energy node consumption. Current energyeffic...
Raja Jurdak, Antonio G. Ruzzelli, Gregory M. P. O'...
147
Voted
BMCBI
2008
123views more  BMCBI 2008»
15 years 3 months ago
Statistical methodology for the analysis of dye-switch microarray experiments
Background: In individually dye-balanced microarray designs, each biological sample is hybridized on two different slides, once with Cy3 and once with Cy5. While this strategy ens...
Tristan Mary-Huard, Julie Aubert, Nadera Mansouri-...