Výsledky vyhledávání - Deterministic Equivalent Stochastic Linear Programming*

l1-gain performance analysis and positive filter design for positive discrete-time Markov jump linear systems: A linear programming approach Autor Zhu, Shuqian, Han, Qing-Long, Zhang, Chenghui

“…) by using a linear programming (LP) approach. First, by constructing a linear stochastic Lyapunov function and introducing an “equivalent…”
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Stochastic resource leveling in projects with flexible structures Autor Li, Hongbo, Zheng, Linwen, Chen, Rui, Zhang, Xianchao

“…•Investigate stochastic resource leveling in projects with flexible structures.•Offer a stochastic programming-based algorithm and a differential evolution algorithm…”
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Component procurement and end product assembly in an uncertain supply and demand environment Autor Bollapragada, Ramesh, Kuppusamy, Saravanan, Rao, Uday S.

“… We present a stochastic linear programming model of the problem which we solve using its deterministic equivalent with a finite number of scenarios…”
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Planning logistics operations in the oil industry Autor Dempster, M A H, Hicks Pedrón, N, Medova, E A, Scott, J E, Sembos, A

“… formulation with uncertainty in the product demands and spot supply costs (DROPS), whose solution process utilizes the deterministic equivalent linear programming problem…”
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Stochastic stability analysis and L∞-gain controller design for positive Markov jump systems with time-varying delays Autor Li, Shuo, Xiang, Zhengrong

“… (MJSs) in continuous-time context by means of a linear programming (LP) technique. Firstly, by introducing an equivalent deterministic positive continuous-time…”
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A Chance Constrained Approach to Fractional Programming with Random Numerator Autor Gupta, S. N.

“… A deterministic equivalent of the stochastic linear fractional programming formulation has been obtained and a subsidiary convex program is given to solve the deterministic…”
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A simple heuristic for reducing the number of scenarios in two-stage stochastic programming Autor Karuppiah, Ramkumar, Martín, Mariano, Grossmann, Ignacio E.

“… The original stochastic programming model is converted into a deterministic equivalent using the reduced set of scenarios…”
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A Stochastic Optimization Approach to the Design of Shale Gas/Oil Wastewater Treatment Systems with Multiple Energy Sources under Uncertainty Autor Al-Aboosi, Fadhil Y., El-Halwagi, Mahmoud M.

“…The production of shale gas and oil is associated with the generation of substantial amounts of wastewater. With the growing emphasis on sustainable…”
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The augmented system variant of IPMs in two-stage stochastic linear programming computation Autor MESZAROS, C

“…The application of interior point methods (IPM) to solve the deterministic equivalent of two-stage stochastic linear programming problems is a known and natural idea…”
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Effects of Probability Function on the Performance of Stochastic Programming Autor Mohammad Ebrahim Karbaschi, Mohammad Reza Banan

“…Stochastic programming is a valuable optimization tool where used when some or all of the design parameters of an optimization problem are defined by stochastic variables rather than by deterministic quantities…”
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Joint Distribution Network and Renewable Energy Expansion Planning Considering Demand Response and Energy Storage-Part I: Stochastic Programming Model Autor Asensio, Miguel, Meneses de Quevedo, Pilar, Munoz-Delgado, Gregorio, Contreras, Javier

“… The problem is formulated as a stochastic-programming-based model driven by the maximization…”
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Chance constrained programming approaches to congestion in stochastic data envelopment analysis Autor Cooper, William W., Deng, H., Huang, Zhimin, Li, Susan X.

“… with their “deterministic equivalents.” This leads to a class of non-linear problems. However, it is shown to be possible to avoid some of the need for dealing with these non-linear…”
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A Novel Approach for Efficiency Evaluation in Data Envelopment Analysis Framework with Fuzzy Stochastic Variables Autor Huang, Lizhen, Chen, Lei

“…) are proposed, and deterministic equivalent interval DEA models with linear constraints are provided to address this problem…”
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Using different dominance criteria in stochastic fuzzy linear multiobjective programming: A case of fuzzy weighted objective function Autor Iskander, M.G.

“…In this paper, a stochastic fuzzy linear multiobjective programming problem is introduced and transformed to a stochastic fuzzy linear programming problem by utilizing a suggested approach of weighted objective function…”
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Developing an optimal appointment scheduling for systems with rigid standby time under pre-determined quality of service Autor Bendavid, Illana, Marmor, Yariv N., Shnits, Boris

“…A critical step in patient care path is diagnosis. The demand for advanced imaging tests, such as computerized axial tomography, magnetic resonance imaging and…”
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Double-sided stochastic chance-constrained linear fractional programming model for managing irrigation water under uncertainty Autor Zhang, Chenglong, Engel, Bernard A., Guo, Ping, Liu, Xiao, Guo, Shanshan, Zhang, Fan, Wang, Youzhi

“…•A double-side stochastic chance-constrained linear fractional programming (DSCLFP) model is developed under uncertainty…”
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The Chance-Constrained Programming for the Lot-Sizing Problem with Stochastic Demand on Parallel Machines Autor Chotayakul, S., Punyangarm, V.

“… The stochastic constraints are transformed into equivalent deterministic programming ones by using the chance constrained programming approach and then obtain an optimal solution by deterministic…”
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A scenario-based stochastic programming model for the control or dummy wafers downgrading problem Autor Chung, Shu-Hsing, Yang, Yi-Shu

“…‐stage stochastic programming model is developed based on scenarios and solved by a deterministic equivalent large linear programming model…”
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Two-stage stochastic programming problems involving interval discrete random variables Autor Barik, Suresh Kumar, Biswal, Mahendra Prasad, Chakravarty, Debashish

“… To solve the stated problem, first we remove the randomness from the problem and formulate an equivalent deterministic linear programming model with interval coefficients…”
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Stochastic Generation and Transmission Expansion Planning using Sample Average Approximation Autor Altun, Osman, Karatepe, Engin

“… The sample average approximation (SAA) method is used to obtain deterministic equivalent of stochastic optimization problems in a mixed integer linear programming (MILP) framework…”
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