Results 21 to 30 of about 25,783 (262)
Portfolio Decision of Short-Term Electricity Forecasted Prices through Stochastic Programming
Deregulated electricity markets encourage firms to compete, making the development of renewable energy easier. An ordinary parameter of electricity markets is the electricity market price, mainly the day-ahead electricity market price.
Agustín A. Sánchez de la Nieta +2 more
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Multi-objective stochastic transportation problem involving three-parameter extreme value distribution [PDF]
In this paper, we considered a multi-objective stochastic transportation problem where the supply and demand parameters follow extreme value distribution having three-parameters.
Acharya Mitali Madhumita +3 more
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Water represents a crucial resource to support agricultural production and the world’s rising food needs. However, the intervention of various factors intricates the proper water allocation, adding uncertainty and increasing risk in the decision-making ...
Juan Marquez +2 more
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Energy management strategy is an important factor in determining the fuel economy of hybrid electric vehicles; thus, much research on how to distribute the required power to engines and motors of hybrid vehicles is required.
Heeyun Lee +3 more
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A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty [PDF]
In this study, a new stochastic model is proposed to deal with a multi-product, multi-period, multi-stage, multi-site production and transportation supply chain planning problem under demand uncertainty. A two-stage stochastic linear programming approach
Houssem Felfel +2 more
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Stochastic Integer Programming [PDF]
No abstract.
Rinnooy Kan, A.H.G., Stougie, L.
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On the Study of Some Fuzzy Stochastic Linear Multiobjective Programming Problems [PDF]
The different possible formulations of what could be called a fuzzy chance-constrained linear multiobjective programming problem are presented and their equivalent linear deterministic forms are deduced using the chance-constraints approach of stochastic
Nadia Girgis, Maha El-Ashram
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Efficient Stochastic Programming in Julia
We present StochasticPrograms.jl, a user-friendly and powerful open-source framework for stochastic programming written in the Julia language. The framework includes both modeling tools and structure-exploiting optimization algorithms. Stochastic programming models can be efficiently formulated using an expressive syntax, and models can be ...
Martin Biel, Mikael Johansson 0001
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Solving stochastic programming problems using new approach to Differential Evolution algorithm
This paper presents a new approach to Differential Evolution algorithm for solving stochastic programming problems, named DESP. The proposed algorithm introduces a new triangular mutation rule based on the convex combination vector of the triangle and ...
Ali Wagdy Mohamed
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Stochastic Constraint Programming [PDF]
Combinatorial optimisation problems often contain uncertainty that has to be taken into account to pro- duce realistic solutions. One way of describing the uncertainty is using scenarios, where each sce- nario describes different potential sets of problem parameters based on random distributions or his- torical data.
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