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Keyword: programming: probabilistic
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475 papers
in total
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Exact Sampling Algorithms for Latin Squares and Sudoku Matrices via Probabilistic Divide-and-Conquer
2017,
DeSalvo Stephen
We provide several algorithms for the exact, uniform random sampling of Latin squares...
Convex Hulls Under Uncertainty
2017,
Suri Subhash
We study the convex‐hull problem in a probabilistic setting, motivated by the...
Global probability maximization for a Gaussian bilateral inequality in polynomial time
2017,
Minoux Michel
The present paper investigates Gaussian bilateral inequalities in view of solving...
Optimal response to epidemics and cyber attacks in networks
2015,
Leyffer Sven
This article introduces novel formulations for optimally responding to epidemics and...
Fuzzy rough set on probabilistic approximation space over two universes and its application to emergency decision-making
2015,
Ma Weimin
Probabilistic approaches to rough sets are still an important issue in rough set...
Addressing the advantages of using ensemble probabilistic models in Estimation of Distribution Algorithms for scheduling problems
2013,
Chen Shih-Hsin
Estimation of Distribution Algorithms (EDAs) have recently been recognized as a...
Numerical solution of high dimensional stationary Fokker‐Planck equations via tensor decomposition and Chebyshev spectral differentiation
2014,
Sun Yifei
This paper focuses on the curse of dimensionality in the numerical solution of the...
Diameter and Broadcast Time of Random Geometric Graphs in Arbitrary Dimensions
2013,
Sauerwald Thomas
A random geometric graph (RGG) is defined by placing n points uniformly at random in...
A Central Limit Theorem for the Number of Degree-k Vertices in Random Maps
2013,
Drmota Michael
We prove that the number of vertices of given degree in (general or...
Message Passing Algorithms for MLS-3LIN Problem
2013,
Watanabe Osamu
MLS‐3LIN problem is a problem of finding a most likely solution for a given...
The robust binomial approach to chance-constrained optimization problems with application to stochastic partitioning of large process networks
2014,
Carlier Jacques
In this paper, we study an interpretation of the sample‐based approach to...
A multistage stochastic programming model for the New Zealand dairy industry
2011,
Philpott A B
This paper presents an application of multistage stochastic programming to a...
The impact of flexibility on operational supply chain planning
2011,
Tomasgard Asgeir
We study in this paper the effects of volume flexibility, delivery flexibility and...
Incorporating uncertainty into a supplier selection problem
2011,
Li Lei
Supplier selection is an important strategic supply chain design decision....
Parallel distributed‐memory simplex for large‐scale stochastic LP problems
2013,
Petra Cosmin
We present a parallelization of the revised simplex method for large extensive forms...
Managing the supply and demand uncertainty in workforce recruitment: planned or just‐in‐time acquisition
2013,
Kim Tae-Sung
Managing knowledge workers is highly complex because of the need to balance the costs...
Energy evaluation method and its optimization models for process planning with stochastic characteristics: A case study in disassembly decision‐making
2012,
Ke Hua
Disassembly is not only a premise of products recycling, but also an important link of...
Expected Future Value Decomposition Based Bid Price Generation for Large‐Scale Network Revenue Management
2013,
Wang J
This paper studies a multistage stochastic programming (SP) model for...
A Recourse Goal Programming Approach for the Portfolio Selection Problem
2013,
Masmoudi Meryem
This paper presents a recourse goal programming approach to a multiple objective...
Stochastic bicriteria single machine scheduling with quadratic cost functions
2013,
Soroush H M
In real world scheduling systems, job attributes are stochastic and schedulers are...
Portfolio Selection with Multiple Time Horizons: A Mean Variance ‐ Stochastic Goal Programming Approach
2013,
Ballestero Enrique
Standard approaches to portfolio selection from classical Markowitz...
Investment models based on clustered scenario trees
2013,
Wong Man Hong
Stochastic programming is widely applied in financial decision problems. In...
Multistage stochastic programming in strategic telecommunication network planning
2012,
Eisenbltter Andreas
Mobile communication is taken for granted in these days. Having started primarily as a...
Solving the Top‐percentile traffic routing problem by Approximate Dynamic Programming
2012,
Grothey Andreas
Internet Service Providers (ISPs) have the ability to route their traffic over...
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