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TSMC
2011
250views more  TSMC 2011»
14 years 10 months ago
Markov Models for Biogeography-Based Optimization
—Biogeography-based optimization (BBO) is a4 population-based evolutionary algorithm that is based on the5 mathematics of biogeography. Biogeography is the science and6 study of ...
Dan Simon, Mehmet Ergezer, Dawei Du, Richard Allen...
128
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HPDC
2007
IEEE
15 years 9 months ago
A provisioning model and its comparison with best-effort for performance-cost optimization in grids
The resource availability in Grids is generally unpredictable due to the autonomous and shared nature of the Grid resources and stochastic nature of the workload resulting in a be...
Gurmeet Singh, Carl Kesselman, Ewa Deelman
ICCAD
1998
IEEE
105views Hardware» more  ICCAD 1998»
15 years 7 months ago
Fanout optimization under a submicron transistor-level delay model
In this paper we present a new fanout optimization algorithm which is particularly suitable for digital circuits designed with submicron CMOS technologies. Restricting the class o...
Pasquale Cocchini, Massoud Pedram, Gianluca Piccin...
141
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ASPDAC
1998
ACM
119views Hardware» more  ASPDAC 1998»
15 years 7 months ago
Integer Programming Models for Optimization Problems in Test Generation
— Test Pattern Generation for combinational circuits entails the identification of primary input assignments for detecting each fault in a set of target faults. An extension to ...
João P. Marques Silva
GECCO
2006
Springer
161views Optimization» more  GECCO 2006»
15 years 7 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