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CORR
2010
Springer
146views Education» more  CORR 2010»
13 years 7 months ago
Adaptive Submodularity: A New Approach to Active Learning and Stochastic Optimization
Solving stochastic optimization problems under partial observability, where one needs to adaptively make decisions with uncertain outcomes, is a fundamental but notoriously diffic...
Daniel Golovin, Andreas Krause
MP
2006
87views more  MP 2006»
13 years 7 months ago
A Robust Optimization Approach to Dynamic Pricing and Inventory Control with no Backorders
In this paper, we present a robust optimization formulation for dealing with demand uncertainty in a dynamic pricing and inventory control problem for a make-to-stock manufacturing...
Elodie Adida, Georgia Perakis
SAMOS
2007
Springer
14 years 1 months ago
An Evolutionary Approach to Area-Time Optimization of FPGA designs
—This paper presents a new methodology based on evolutionary multi-objective optimization (EMO) to synthesize multiple complex modules on programmable devices (FPGAs). It starts ...
Fabrizio Ferrandi, Pier Luca Lanzi, Gianluca Paler...
MICCAI
1999
Springer
13 years 12 months ago
Optimization Approaches for Soft-Tissue Prediction in Craniofacial Surgery Simulation
Abstract. A system for interactive, 3–D, craniofacial surgery simulation is presented. It is used for the 3–D simulation of osteotomies of the facial and skull bones and for th...
Matthias Teschner, Sabine Girod, Bernd Girod
TASE
2008
IEEE
13 years 7 months ago
An Optimization-Based Approach for Design Project Scheduling
Concurrent engineering has been widely used in managing design projects to speed up the design process by concurrently performing multiple tasks. Since the progress of a design tas...
Ming Ni, Peter B. Luh, Bryan Moser