Results 21 to 30 of about 5,689,395 (335)

Operation and Planning of Energy Hubs Under Uncertainty—A Review of Mathematical Optimization Approaches

open access: yesIEEE Access, 2023
Co-designing energy systems across multiple energy carriers is increasingly attracting attention of researchers and policy makers, since it is a prominent means of increasing the overall efficiency of the energy sector. Special attention is attributed to
M. Jasinski   +6 more
semanticscholar   +1 more source

MathOptInterface: A Data Structure for Mathematical Optimization Problems [PDF]

open access: yesINFORMS journal on computing, 2020
We introduce MathOptInterface, an abstract data structure for representing mathematical optimization problems based on combining pre-defined functions and sets.
B. Legat   +3 more
semanticscholar   +1 more source

HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION

open access: yesBarekeng, 2023
The number of claims plays an important role the profit achievement of health insurance companies. Prediction of the number of claims could give the significant implications in the profit margins generated by the health insurance company.
Syaiful Anam   +5 more
doaj   +1 more source

A new iteration method for solving space fractional coupled nonlinear Schrödinger equations [PDF]

open access: yesIranian Journal of Numerical Analysis and Optimization, 2022
A linearly implicit difference scheme for the space fractional coupled nonlinear Schrödinger equation is proposed. The resulting coefficient matrix of the discretized linear system consists of the sum of a complex scaled identity and a symmetric positive ...
H. Aslani   +2 more
doaj   +1 more source

Selected Mathematical Optimization Methods for Solving Problems of Engineering Practice

open access: yesEnergies, 2022
Engineering optimization is the subject of interest for many scientific research teams on a global scale; it is a part of today’s mathematical modelling and control of processes and systems.
A. Vagaská, M. Gombár, Ľ. Straka
semanticscholar   +1 more source

A Mathematical Model for Agroforestry Optimization

open access: yesWSEAS TRANSACTIONS ON SYSTEMS AND CONTROL, 2022
In the present article, we will describe some extensions of an agroforestry model that has been proposed and computationally implemented in [7]. Our generalizations consist of the inclusion of two additional species of tree, one culture, and a declaration of regeneration tours as variables definable by us as a parameter and the weight allocation by ...
Rodríguez Lucatero, Carlos   +2 more
openaire   +2 more sources

Mathematical Optimization of Treatment Schedules [PDF]

open access: yesInternational Journal of Radiation Oncology*Biology*Physics, 2016
In the past decades mathematical optimization has found its way into radiation therapy and has made profound practice changing impact. Today, virtually all advanced treatment delivery methods, such as IMRT, VMAT, tomotherapy, LDR/HDR brachytherapy, proton therapy, are based on some form of optimization approach that changes the treatment variables ...
Bram L. Gorissen   +2 more
openaire   +3 more sources

Optimal Sparse Control Formulation for Reconstruction of Noise-Affected Images

open access: yesAxioms, 2023
We discuss the optimal control formulation for enhancement and denoising of satellite multiband images and propose to take it in the form of an L1 control problem for a quasi-linear parabolic equation with a nonlocal p[u] Laplacian and with a cost ...
Peter Kogut, Yaroslav Kohut
doaj   +1 more source

Application neural network approach for the estimation of heavy metal concentrations in the Inaouen watershed

open access: yesJournal of Environmental Engineering and Landscape Management, 2022
This paper describes how the multilayer perceptron neural network (MLPNN) trained by the Broyden-Fletcher-Goldfarb-Shanno (BFGS) quasi-newton back-propagation approach was used to estimate heavy metal concentrations: Aluminum (Al), Lead (Pb), Copper (Cu)
Rachid El Chaal   +1 more
doaj   +1 more source

Supervised classification and mathematical optimization [PDF]

open access: yesComputers & Operations Research, 2013
Data Mining techniques often ask for the resolution of optimization problems. Supervised Classification, and, in particular, Support Vector Machines, can be seen as a paradigmatic instance. In this paper, some links between Mathematical Optimization methods and Supervised Classification are emphasized.
Carrizosa Priego, Emilio José   +1 more
openaire   +3 more sources

Home - About - Disclaimer - Privacy