Results 11 to 20 of about 251,693 (300)

A Review on the Performance of Linear and Mixed Integer Two-Stage Stochastic Programming Software

open access: yesAlgorithms, 2022
This paper presents a tutorial on the state-of-the-art software for the solution of two-stage (mixed-integer) linear stochastic programs and provides a list of software designed for this purpose.
Juan J. Torres   +3 more
doaj   +1 more source

Convex Stochastic Approaches for the Optimal Allocation of Distributed Energy Resources in AC Distribution Networks with Measurements Fitted to a Continuous Probability Distribution Function

open access: yesEnergies, 2023
This paper addresses the optimal stochastic allocation of distributed energy resources in distribution networks. Typically, uncertain problems are analyzed in multistage formulations, including case generation routines, resulting in computationally ...
Diego Mendoza Osorio   +1 more
doaj   +1 more source

Benders Cut Classification via Support Vector Machines for Solving Two-Stage Stochastic Programs [PDF]

open access: yesINFORMS Journal on Optimization, 2019
We consider Benders decomposition for solving two-stage stochastic programs with complete recourse based on finite samples of the uncertain parameters. We define the Benders cuts binding at the final optimal solution or the ones significantly improving ...
Huiwen Jia, Siqian Shen
semanticscholar   +1 more source

Same-day delivery time-guarantee problem in online retail

open access: yesCommunications in Transportation Research, 2023
This study introduces the same-day delivery time-guarantee (SDDTG) problem for supporting online retail. In the SDDTG, orders are placed online and are processed and delivered from a depot to customer locations in the same day.
Hossein Fotouhi, Elise Miller-Hooks
doaj   +1 more source

Volumetric Barrier Cutting Plane Algorithms for Stochastic Linear Semi-Infinite Optimization

open access: yesIEEE Access, 2020
In this paper, we study the two-stage stochastic linear semi-infinite programming with recourse to handle uncertainty in data defining (deterministic) linear semi-infinite programming.
Baha Alzalg, Asma Gafour, Lewa Alzaleq
doaj   +1 more source

Measuring Accessibility to Medical Centers in Isfahan City Using 2SFCA Method [PDF]

open access: yesجغرافیا و برنامه‌ریزی محیطی, 2023
One of the most important challenges facing policymakers and urban planners in recent decades is the issue of accessibility to a variety of urban services. The main purpose of this study was thecalculation of the accessibility of census blocks to medical
Ansar Gholami   +3 more
doaj   +1 more source

On sample average approximation for two-stage stochastic programs without relatively complete recourse [PDF]

open access: yesMathematical programming, 2019
We investigate sample average approximation (SAA) for two-stage stochastic programs without relatively complete recourse, i.e., for problems in which there are first-stage feasible solutions that are not guaranteed to have a feasible recourse action.
Rui Chen, James R. Luedtke
semanticscholar   +1 more source

Unbalanced Distribution System Expansion and Energy Storage Planning Under Wildfire Risk

open access: yesIEEE Access, 2023
Reducing the risks of wildfire ignition has become a major concern for many electric utilities. In recent years, they have relied on Public Safety Power Shutoff (PSPS) programs to de-energize select power lines to prevent wildfire risks. A cost-effective
Augusto Zanin Bertoletti   +1 more
doaj   +1 more source

Parameterized algorithms for block-structured integer programs with large entries [PDF]

open access: yesTheoretiCS
We study two classic variants of block-structured integer programming. Two-stage stochastic programs are integer programs of the form $\{A_i \mathbf{x} + D_i \mathbf{y}_i = \mathbf{b}_i\textrm{ for all }i=1,\ldots,n\}$, where $A_i$ and $D_i$ are bounded ...
Jana Cslovjecsek   +4 more
doaj   +1 more source

A new convergent hybrid learning algorithm for two-stage stochastic programs

open access: yesEuropean Journal of Operational Research, 2020
This study proposes a new hybrid learning algorithm to approximate the expected recourse function for two-stage stochastic programs. The proposed algorithm, which is called projected stochastic hybrid learning algorithm, is a hybrid of piecewise linear ...
Shaorui Zhou   +4 more
semanticscholar   +1 more source

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