Results 21 to 30 of about 555,552 (274)

Double-uncertainty optimal operation of hybrid AC/DC microgrids with high proportion of intermittent energy sources

open access: yesJournal of Modern Power Systems and Clean Energy, 2017
This paper applies double-uncertainty optimization theory to the operation of AC/DC hybrid microgrids to deal with uncertainties caused by a high proportion of intermittent energy sources.
Peng LI   +3 more
doaj   +1 more source

The stochastic matching problem [PDF]

open access: yes, 2011
The matching problem plays a basic role in combinatorial optimization and in statistical mechanics. In its stochastic variants, optimization decisions have to be taken given only some probabilistic information about the instance.
A. Braunstein   +12 more
core   +2 more sources

On the Convergence of Stochastic Process Convergence Proofs

open access: yesMathematics, 2021
Convergence of a stochastic process is an intrinsic property quite relevant for its successful practical for example for the function optimization problem.
Borja Sánchez-López, Jesus Cerquides
doaj   +1 more source

Optimization and Improvement of Gas Spring Design in An Energy Storing Prosthetic Knee

open access: yesInternational Journal of Technology, 2015
In this research, an optimization and improvement of gas spring design is discussed. The gas spring is used as a suspension component of an energy storing prosthetic knee. The gas spring replaces the quadricep muscles of transfemoral amputee.
Cucuk Nur Rosyidi   +2 more
doaj   +1 more source

Contingency‐constrained operation optimization of microgrid with wind and solar generations: A decision‐driven stochastic adaptive‐robust approach

open access: yesIET Renewable Power Generation, 2021
This paper presents a decision‐driven stochastic adaptive‐robust microgrid operation optimization model considering the uncertainties of wind and solar generations, electricity price, and demand as well as the availability uncertainties of microgrid's ...
Mohammad Reza Ebrahimi, Nima Amjady
doaj   +1 more source

Stochastic Bigger Subspace Algorithms for Nonconvex Stochastic Optimization

open access: yesIEEE Access, 2021
It is well known that the stochastic optimization problem can be regarded as one of the most hard problems since, in most of the cases, the values of $f$ and its gradient are often not easily to be solved, or the $F(\cdot, \xi)$ is normally not given
Gonglin Yuan   +3 more
doaj   +1 more source

A Cooperative Dual to the Nash Equilibrium for Two-Person Prescriptive Games

open access: yesJournal of Applied Mathematics, 2014
An alternative to the Nash equilibrium (NE) is presented for two-person, one-shot prescriptive games in normal form, where the outcome is determined by an arbiter. The NE is the fundamental solution concept in noncooperative game theory.
H. W. Corley, Phantipa Kwain
doaj   +1 more source

A novel simulation–optimization strategy for stochastic‐based designing of flood control dam: A case study of Jamishan dam

open access: yesJournal of Flood Risk Management, 2021
This study presents a novel stochastic simulation–optimization approach for optimum designing of flood control dam through incorporation of various sources of uncertainties. The optimization problem is formulated based on two objective functions, namely,
Ahmad Sharafati   +2 more
doaj   +1 more source

The method of endogenous gridpoints for solving dynamic stochastic optimization problems [PDF]

open access: yes, 2005
This paper introduces a method for solving numerical dynamic stochastic optimization problems that avoids rootfinding operations. The idea is applicable to many microeconomic and macroeconomic problems, including life cycle, buffer-stock, and stochastic ...
Carroll, Christopher D.
core   +2 more sources

Chebyshev wavelet-based method for solving various stochastic optimal control problems and its application in finance [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization
In this paper, a computational method based on parameterizing state and control variables is presented for solving Stochastic Optimal Control (SOC) problems.
M. Yarahmadi, S. Yaghobipour
doaj   +1 more source

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