Results 61 to 70 of about 295,816 (187)
Stochastic Constraint Programming
, 2008 To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision variables (which we can set) and stochastic variables (which follow a ...
Walsh, Toby
core +1 more source
Time Blocks Decomposition of Multistage Stochastic Optimization Problems
, 2018 Multistage stochastic optimization problems are, by essence, complex because their solutions are indexed both by stages (time) and by uncertainties (scenarios). Their large scale nature makes decomposition methods appealing.The most common approaches are
Carpentier, Pierre +3 more
core
Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2018 We consider a capacity expansion problem for a railway network under uncertainty. In our approach, integer and stochastic programming provide a basic framework.
Takayuki SHIINA +4 more
doaj +1 more source
Stochastic Utility-Efficient Programming of Organic Dairy Farms [PDF]
Opportunities to make sequential decisions and adjust activities as a season progresses and more information becomes available characterize the farm management process.
Flaten, Ola, Lien, Gudbrand D.
core +1 more source
Hybrid Behaviour of Markov Population Models [PDF]
, 2013 We investigate the behaviour of population models written in Stochastic Concurrent Constraint Programming (sCCP), a stochastic extension of Concurrent Constraint Programming.
Bortolussi, Luca
core
Acceleration of Digital Stochastic Measurement Simulation Based on Concurrent Programming
Elektronika ir Elektrotechnika, 2018 A/D conversion methods improved through stochastic signal superposition, along with oversampling techniques present significant research direction in the area of signal processing and measurement.
Velibor Pjevalica +3 more
doaj +1 more source
DEA Problems under Geometrical or Probability Uncertainties of Sample Data [PDF]
This paper discusses the theoretical and practical aspects of new methods for solving DEA problems under real-life geometrical uncertainty and probability uncertainty of sample data.
Althaler, Karl S., Slavova, Tatjana
core
The international stock pollutant control: a stochastic formulation [PDF]
In this paper we provide a stochastic dynamic game formulation of the economics of international environmental agreements on the transnational pollution control when the environmental damage arises from stock pollutant that accumulates, for accumulating ...
Omar J. Casas, Rosario Romera
core
An Interactive Fuzzy Satisficing Method for Fuzzy Random Multiobjective 0-1 Programming Problems through Probability Maximization Using Possibility [PDF]
, 2009 In this paper, we focus on multiobjective 0-1 programming problems under the situation where stochastic uncertainty and vagueness exist at the same time.
Hontani, Takehisa +3 more
core
Multistage Stochastic Integer Programs
, 2001 We consider linear multistage stochastic integer programs and study their functional and dynamic programming formulations as well as conditions for optimality and stability of solutions. Furthermore, we study the application of the Rockafellar-Wets dualization approach as well as the structure and algorithmic potential of corresponding dual problems ...
Römisch, Werner, Schultz, Rüdiger
openaire +3 more sources