Results 21 to 30 of about 25,783 (262)

Portfolio Decision of Short-Term Electricity Forecasted Prices through Stochastic Programming

open access: yesEnergies, 2016
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
doaj   +1 more source

Multi-objective stochastic transportation problem involving three-parameter extreme value distribution [PDF]

open access: yesYugoslav Journal of Operations Research, 2019
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
doaj   +1 more source

Multistage Stochastic Programming to Support Water Allocation Decision-Making Process in Agriculture: A Literature Review

open access: yesChemistry Proceedings, 2022
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
doaj   +1 more source

Comparative Analysis of Energy Management Strategies for HEV: Dynamic Programming and Reinforcement Learning

open access: yesIEEE Access, 2020
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
doaj   +1 more source

A Stochastic Programming Approach for a Multi-Site Supply Chain Planning in Textile and Apparel Industry under Demand Uncertainty [PDF]

open access: yesInternational Journal of Supply and Operations Management, 2015
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
doaj   +3 more sources

Stochastic Integer Programming [PDF]

open access: yes, 1988
No abstract.
Rinnooy Kan, A.H.G., Stougie, L.
openaire   +2 more sources

On the Study of Some Fuzzy Stochastic Linear Multiobjective Programming Problems [PDF]

open access: yesThe Egyptian Statistical Journal, 1995
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
doaj   +1 more source

Efficient Stochastic Programming in Julia

open access: yesINFORMS Journal on Computing, 2022
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
openaire   +3 more sources

Solving stochastic programming problems using new approach to Differential Evolution algorithm

open access: yesEgyptian Informatics Journal, 2017
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
doaj   +1 more source

Stochastic Constraint Programming [PDF]

open access: yesProceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
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.
openaire   +1 more source

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