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MP
2006
110views more  MP 2006»
14 years 9 months ago
Robust game theory
We present a distribution-free model of incomplete-information games, both with and without private information, in which the players use a robust optimization approach to contend ...
Michele Aghassi, Dimitris Bertsimas
MP
2006
87views more  MP 2006»
14 years 9 months ago
Convexity and decomposition of mean-risk stochastic programs
Abstract. Traditional stochastic programming is risk neutral in the sense that it is concerned with the optimization of an expectation criterion. A common approach to addressing ri...
Shabbir Ahmed
MP
2006
103views more  MP 2006»
14 years 9 months ago
Assessing solution quality in stochastic programs
Determining if a solution is optimal or near optimal is fundamental in optimization theory, algorithms, and computation. For instance, Karush-Kuhn-Tucker conditions provide necessa...
Güzin Bayraksan, David P. Morton
MP
2006
110views more  MP 2006»
14 years 9 months ago
Decomposition and Dynamic Cut Generation in Integer Linear Programming
Decomposition algorithms such as Lagrangian relaxation and Dantzig-Wolfe decomposition are well-known methods that can be used to generate bounds for mixed-integer linear programmi...
Ted K. Ralphs, Matthew V. Galati
MP
2006
120views more  MP 2006»
14 years 9 months ago
Lot-sizing with production and delivery time windows
We study two different lot-sizing problems with time windows that have been proposed recently. For the case of production time windows, in which each client specific order must be ...
Laurence A. Wolsey