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» Simulation Optimization: Methods and Applications
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HIPEAC
2005
Springer
15 years 3 months ago
A Practical Method for Quickly Evaluating Program Optimizations
This article aims at making iterative optimization practical and usable by speeding up the evaluation of a large range of optimizations. Instead of using a full run to evaluate a s...
Grigori Fursin, Albert Cohen, Michael F. P. O'Boyl...
SIGCOMM
1995
ACM
15 years 1 months ago
Log-Based Receiver-Reliable Multicast for Distributed Interactive Simulation
Reliable multicast communication is important in large-scale distributed applications. For example, reliable multicast is used to transmit terrain and environmental updates in dis...
Hugh W. Holbrook, Sandeep K. Singhal, David R. Che...
CORR
2010
Springer
182views Education» more  CORR 2010»
14 years 10 months ago
SPOT: An R Package For Automatic and Interactive Tuning of Optimization Algorithms by Sequential Parameter Optimization
The sequential parameter optimization (spot) package for R (R Development Core Team, 2008) is a toolbox for tuning and understanding simulation and optimization algorithms. Model-...
Thomas Bartz-Beielstein
BMCBI
2008
166views more  BMCBI 2008»
14 years 10 months ago
Biclustering via optimal re-ordering of data matrices in systems biology: rigorous methods and comparative studies
Background: The analysis of large-scale data sets via clustering techniques is utilized in a number of applications. Biclustering in particular has emerged as an important problem...
Peter A. DiMaggio Jr., Scott R. McAllister, Christ...
EMO
2001
Springer
225views Optimization» more  EMO 2001»
15 years 2 months ago
Application of Multiobjective Evolutionary Algorithms for Dose Optimization Problems in Brachytherapy
In High Dose Rate (HDR) brachytherapy the conventional dose optimization algorithms consider the multiple objectives in form of an aggregate function which combines individual obj...
Michael Lahanas, Natasa Milickovic, Dimos Baltas, ...