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Abstract: In this paper, we combine two approaches to handling uncertainty: we use techniques for finding optimal solutions in the expected sense to solve combinatorial problems in an online setting. The problem we address is the scheduling component of the Trading Agent Competition in Supply Chain Management (TAC SCM) problem, a classic combinatorial optimization problem with uncertainty (see www.sics.se/ tac/). This problem is formulated as a stochastic program, and it is solved using the sample... (Update)
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BibTeX entry: (Update)
@misc{ benisch-stochastic,
author = "Michael Benisch and Amy Greenwald and Victor Naroditskiy and Michael Tschantz",
title = "A Stochastic Programming Approach to Scheduling in TAC SCM",
url = "citeseer.ist.psu.edu/754593.html" }
Citations (may not include all citations):546 An Introduction to the Bootstrap (context) - Efron, Tibshirani - 1993
187 Planning and Acting in Partially Observable Stochastic Domai.. - Kaelbling, Littman et al. - 1998
98 Introduction to Stochastic Programming (context) - Birge, Louveaux - 1997
16 The sample average approximation method for stochastic discr.. - Kleywegt, Shapiro et al. - 2001
13 line Scheduling Via Sampling - Chang, Givan et al. - 2000
10 Scenario Based Planning for Partially Dynamic Vehicle Routin.. - Bent, Hentenryck - 2001
9 Dynamic Vehicle Routing with Stochastic requests - Bent, Hentenryck - 2003
8 On rate convergence of monte carlo approximations of stochas.. - Shapiro, Homen-De-Mello - 2001
8 Decision-theoretic bidding based on learned density models i.. - Stone, Schapire et al. - 2003
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5 The boundaries of financial reporting and how to extend them (context) - Lev, Zarowin - 1999
Documents on the same site (http://www.cs.brown.edu/research/projects/tac_scm.html):
Botticelli: A Supply Chain Management Agent - Benisch Greenwald Grypari (Correct)
A Stochastic Programming Approach to Scheduling in TAC SCM - Michael Benisch Amy (Correct)
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