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GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 12 months ago
Learning, anticipation and time-deception in evolutionary online dynamic optimization
In this paper we focus on an important source of problem– difficulty in (online) dynamic optimization problems that has so far received significantly less attention than the tr...
Peter A. N. Bosman
MP
2006
87views more  MP 2006»
15 years 6 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
DAM
2008
83views more  DAM 2008»
15 years 6 months ago
Multi-group support vector machines with measurement costs: A biobjective approach
Support Vector Machine has shown to have good performance in many practical classification settings. In this paper we propose, for multi-group classification, a biobjective optimi...
Emilio Carrizosa, Belen Martin-Barragan, Dolores R...
TNN
2010
121views Management» more  TNN 2010»
15 years 1 months ago
Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks
The competitive layer model (CLM) can be described by an optimization problem. The problem can be further formulated by an energy function, called the CLM energy function, in the s...
Zhang Yi
INFOCOM
2005
IEEE
15 years 12 months ago
Optimal peer selection for P2P downloading and streaming
— In a P2P system, a client peer may select one or more server peers to download a specific file. In a P2P resource economy, the server peers charge the client for the download...
Micah Adler, Rakesh Kumar, Keith W. Ross, Dan Rube...