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» Stochastic Constraint Programming: A Scenario-Based Approach
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SIAMJO
2008
72views more  SIAMJO 2008»
13 years 6 months ago
A Sample Approximation Approach for Optimization with Probabilistic Constraints
We study approximations of optimization problems with probabilistic constraints in which the original distribution of the underlying random vector is replaced with an empirical dis...
James Luedtke, Shabbir Ahmed
WCE
2007
13 years 7 months ago
Scenario Generation Employing Copulas
—Multistage stochastic programs are effective for solving long-term planning problems under uncertainty. Such programs are usually based on scenario generation model about future...
Kristina Sutiene, Henrikas Pranevicius
CP
2006
Springer
13 years 10 months ago
Stochastic Allocation and Scheduling for Conditional Task Graphs in MPSoCs
This paper describes a complete and efficient solution to the stochastic allocation and scheduling for Multi-Processor System-on-Chip (MPSoC). Given a conditional task graph charac...
Michele Lombardi, Michela Milano
COR
2010
155views more  COR 2010»
13 years 6 months ago
A memetic algorithm for the multi-compartment vehicle routing problem with stochastic demands
The Multi-Compartment Vehicle Routing Problem (MC-VRP) consists of designing transportation routes to satisfy the demands of a set of costumers for several products that because o...
Jorge E. Mendoza, Bruno Castanier, Christelle Gu&e...
ATMOS
2007
114views Optimization» more  ATMOS 2007»
13 years 7 months ago
Fast Approaches to Robust Railway Timetabling
The Train Timetabling Problem (TTP) consists in finding a train schedule on a railway network that satisfies some operational constraints and maximizes a profit function which c...
Matteo Fischetti, Arrigo Zanette, Domenico Salvagn...