Search Results - 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 by 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 by 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 by 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 by 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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A Chance Constrained Approach to Fractional Programming with Random Numerator by 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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Stochastic stability analysis and L∞-gain controller design for positive Markov jump systems with time-varying delays by 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 simple heuristic for reducing the number of scenarios in two-stage stochastic programming by 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 by 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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Effects of Probability Function on the Performance of Stochastic Programming by 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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The augmented system variant of IPMs in two-stage stochastic linear programming computation by 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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On time stochastic dominance induced by mixed integer-linear recourse in multistage stochastic programs by Escudero, Laureano F., Garín, María Araceli, Merino, María, Pérez, Gloria

“…) along a given horizon. It can be considered as a mixture of the two risk averse measures based on first- and second-order stochastic dominance constraints induced by mixed integer-linear recourse, respectively…”
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Double-sided stochastic chance-constrained linear fractional programming model for managing irrigation water under uncertainty by 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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Joint Distribution Network and Renewable Energy Expansion Planning Considering Demand Response and Energy Storage-Part I: Stochastic Programming Model by 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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A Novel Approach for Efficiency Evaluation in Data Envelopment Analysis Framework with Fuzzy Stochastic Variables by 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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Chance constrained programming approaches to congestion in stochastic data envelopment analysis by 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 stochastic optimization approach to the design and operation planning of a hybrid renewable energy system by Yu, Jiah, Ryu, Jun-Hyung, Lee, In-beum

“…•A stochastic approach is proposed to consider the uncertainty in energy profiles.•The model is formulated with mixed-integer linear programming…”
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Fault Location Observability Using Phasor Measurement Units in a Power Network Through Deterministic and Stochastic Algorithms by Theodorakatos, Nikolaos P.

“…This article studies deterministic and stochastic algorithms for placing minimum number of phasor measurement units (PMUs…”
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Using different dominance criteria in stochastic fuzzy linear multiobjective programming: A case of fuzzy weighted objective function by 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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On the Value of Community Association for Microgrid Development: Learnings from Multiple Deterministic and Stochastic Planning Designs by Mina-Casaran, Juan David, Echeverry, Diego Fernando, Lozano, Carlos Arturo, Navarro-Espinosa, Alejandro

“… This research seeks to quantify the potential benefits of urban community microgrids, based on the development of planning models with deterministic and stochastic optimization approaches…”
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Deterministic Conversion of Uncertain Manpower Planning Optimization Problem by Li, Bo, Zhu, Yuanguo, Sun, Yufei, Aw, Grace, Teo, Kok Lay

“…Manpower planning is a very important component of human resource management. However, there are many indeterminate factors that should be taken into…”
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