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EOR
2010
94views more  EOR 2010»
14 years 11 months ago
The effect of demand uncertainty in a price-setting newsvendor model
We study the effects of demand uncertainty on optimal decisions and the expected profit of a pricesetting newsvendor who faces either additive or multiplicative stochastic demand....
Minghui Xu, Youhua (Frank) Chen, Xiaolin Xu
TVLSI
2008
176views more  TVLSI 2008»
14 years 11 months ago
A Fuzzy Optimization Approach for Variation Aware Power Minimization During Gate Sizing
Abstract--Technology scaling in the nanometer era has increased the transistor's susceptibility to process variations. The effects of such variations are having a huge impact ...
Venkataraman Mahalingam, N. Ranganathan, J. E. Har...
WCE
2007
15 years 27 days ago
Scenario Generation Employing Copulas
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Kristina Sutiene, Henrikas Pranevicius
ATMOS
2007
114views Optimization» more  ATMOS 2007»
15 years 1 months ago
Fast Approaches to Robust Railway Timetabling
The Train Timetabling Problem (TTP) consists in finding a train schedule on a railway network that satisfies some operational constraints and maximizes a profit function which c...
Matteo Fischetti, Arrigo Zanette, Domenico Salvagn...
GECCO
2006
Springer
168views Optimization» more  GECCO 2006»
15 years 3 months ago
A Bayesian approach to learning classifier systems in uncertain environments
In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...