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WSC
2004
15 years 8 months ago
Simulation-Based Optimization Using Simulated Annealing With Confidence Interval
This paper develops a variant of Simulated Annealing (SA) algorithm for solving discrete stochastic optimization problems where the objective function is stochastic and can be eva...
Talal M. Alkhamis, Mohamed A. Ahmed
GLVLSI
2008
IEEE
147views VLSI» more  GLVLSI 2008»
16 years 1 months ago
Statistical timing analysis of flip-flops considering codependent setup and hold times
Statistical static timing analysis (SSTA) plays a key role in determining performance of the VLSI circuits implemented in state-of-the-art CMOS technology. A pre-requisite for emp...
Safar Hatami, Hamed Abrishami, Massoud Pedram
195
Voted
RSKT
2009
Springer
16 years 1 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
165
Voted
MOR
2006
95views more  MOR 2006»
15 years 6 months ago
An Efficient Interior-Point Method for Convex Multicriteria Optimization Problems
In multicriteria optimization, several objective functions, conflicting with each other, have to be minimized simultaneously. We propose a new efficient method for approximating t...
Jörg Fliege
JORS
2011
67views more  JORS 2011»
15 years 1 months ago
Robust parameter design optimization of simulation experiments using stochastic perturbation methods
Stochastic perturbation methods can be applied to problems for which either the objective function is represented analytically, or the objective function is the result of a simula...
A. K. Miranda, E. Del Castillo