Results 11 to 20 of about 25,783 (262)
A chance-constrained stochastic approach to intermodal container routing problems. [PDF]
PLoS ONE, 2018 We consider a container routing problem with stochastic time variables in a sea-rail intermodal transportation system. The problem is formulated as a binary integer chance-constrained programming model including stochastic travel times and stochastic ...
Yi Zhao +3 more
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On a method for solving the reliability problem of the mechanical system
Vietnam Journal of Mechanics, 1988 In this paper the problem of reliability is formulated in stochastic programming forms and corresponding algorithms are given. In some ordinary conditions of moebanical system, stochastic programming problems can change by that ones or the ...
Nguyen Van Pho
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Stochastic Probabilistic Programs
CoRR, 2020 We introduce the notion of a stochastic probabilistic program and present a reference implementation of a probabilistic programming facility supporting specification of stochastic probabilistic programs and inference in them. Stochastic probabilistic programs allow straightforward specification and efficient inference in models with nuisance parameters,
David Tolpin, Tomer Dobkin
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Challenges in stochastic programming [PDF]
Mathematical Programming, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Stochastic Integer Programming by Dynamic Programming [PDF]
Statistica Neerlandica, 1985 AbstractStochastic integer programming is a suitable tool for modeling hierarchical decision situations with combinatorial features. In continuation of our work on the design and analysis of heuristics for such problems, we now try to find optimal solutions.
B.J. Lageweg +4 more
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Stochastic Programming for Selection Variables in Cluster Analysis
Journal of Basic and Applied Research in Biomedicine, 2022 Cluster analysis is one of the most important techniques in the exploratory data analysis; it is goal to discover a natural grouping in a set of observations without knowledge of any class labels. Variable selection has been very important for a lot of
Safia Ezzat +3 more
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Modeling Multi-Objective, Multi-Product and Multi-Period Supplier Selection Problem Considering Stochastic Demand [PDF]
مدیریت تولید و عملیات, 2018 In this paper, a multi-objective, multi-period and multi-product mixed integer programming model for the supplier selection and quota allocation problem under an all-unit quantity discount policy, constrained storage space and stochastic demand is ...
Mehdi Seifbarghy, Foruzan Naseri
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Stochastic zero – one programming [PDF]
المجلة العراقية للعلوم الاحصائية, 2009 zero - one programming case from integer linear programming where the variable's are equal to zero or one, the decision factor uses this kind from programming when he meets him problems of the kind yes or no.
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Stochastic Lipschitz dynamic programming [PDF]
Mathematical Programming, 2020 We propose a new algorithm for solving multistage stochastic mixed integer linear programming (MILP) problems with complete continuous recourse. In a similar way to cutting plane methods, we construct nonlinear Lipschitz cuts to build lower approximations for the non-convex cost to go functions.
Shabbir Ahmed 0001 +2 more
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A STOCHASTIC APPROXIMATION ALGORITHM FOR STOCHASTIC SEMIDEFINITE PROGRAMMING [PDF]
Probability in the Engineering and Informational Sciences, 2016 Motivated by applications to multi-antenna wireless networks, we propose a distributed and asynchronous algorithm for stochastic semidefinite programming. This algorithm is a stochastic approximation of a continuous-time matrix exponential scheme which is further regularized by the addition of an entropy-like term to the problem's objective function ...
Gaujal, Bruno, Mertikopoulos, Panayotis
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