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» A mean field approach for optimization in discrete time
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PAAMS
2010
Springer
15 years 2 months ago
An UCT Approach for Anytime Agent-Based Planning
In this paper, we introduce a new heuristic search algorithm based on mean values for anytime planning, called MHSP. It consists in associating the principles of UCT, a bandit-base...
Damien Pellier, Bruno Bouzy, Marc Métivier
FSS
2002
84views more  FSS 2002»
14 years 9 months ago
A possibilistic approach to selecting portfolios with highest utility score
The mean-variance methodology for the portfolio selection problem, originally proposed by Markowitz, has been one of the most important research fields in modern finance. In this ...
Christer Carlsson, Robert Fullér, Pé...
EOR
2006
97views more  EOR 2006»
14 years 9 months ago
Bayesian portfolio selection with multi-variate random variance models
We consider multi-period portfolio selection problems for a decision maker with a specified utility function when the variance of security returns is described by a discrete time ...
Refik Soyer, Kadir Tanyeri
MP
2006
110views more  MP 2006»
14 years 9 months ago
Extending Scope of Robust Optimization: Comprehensive Robust Counterparts of Uncertain Problems
In this paper, we propose a new methodology for handling optimization problems with uncertain data. With the usual Robust Optimization paradigm, one looks for the decisions ensurin...
Aharon Ben-Tal, Stephen Boyd, Arkadi Nemirovski
CGF
2010
142views more  CGF 2010»
14 years 8 months ago
Toward a Lagrangian Vector Field Topology
In this paper we present an extended critical point concept which allows us to apply vector field topology in the case of unsteady flow. We propose a measure for unsteadiness wh...
Raphael Fuchs, Jan Kemmler, Benjamin Schindler, J&...