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» Optimization of Genetic Operators for Scheduling Problems
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95
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TEC
2002
119views more  TEC 2002»
14 years 9 months ago
Graph-based evolutionary design of arithmetic circuits
Abstract--In this paper, we present an efficient graph-based evolutionary optimization technique called evolutionary graph generation (EGG) and the proposed approach is applied to ...
Dingjun Chen, Takafumi Aoki, Naofumi Homma, Toshik...
ML
2008
ACM
101views Machine Learning» more  ML 2008»
14 years 9 months ago
On reoptimizing multi-class classifiers
Significant changes in the instance distribution or associated cost function of a learning problem require one to reoptimize a previously-learned classifier to work under new cond...
Chris Bourke, Kun Deng, Stephen D. Scott, Robert E...
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 3 months ago
Real-coded ECGA for economic dispatch
In this paper, we propose a new approach that consists of the extended compact genetic algorithm (ECGA) and split-ondemand (SoD), an adaptive discretization technique, to economic...
Chao-Hong Chen, Ying-Ping Chen
116
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COMSNETS
2012
297views more  COMSNETS 2012»
13 years 5 months ago
Optimizing cloud resources for delivering IPTV services through virtualization
—Virtualized cloud-based services can take advantage of statistical multiplexing across applications to yield significant cost savings to the operator. However, achieving simila...
Vaneet Aggarwal, Vijay Gopalakrishnan, Rittwik Jan...
RTCSA
1999
IEEE
15 years 1 months ago
Incorporating Error Recovery into the Imprecise Computation Model
In this paper; we describe optimal algorithmsfor incorporating error recovery in the imprecise computation model. In that model eack task compriser a mandatory and an optional par...
Hakan Aydin, Rami G. Melhem, Daniel Mossé