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Robust fractional programming

WebMay 24, 2024 · In this paper, a methodology is developed to solve an uncertain multiobjective fractional programming problem in the face of data uncertainty in the … WebAbstract We consider linear fractional programming problems in a form of which the linear fractional program and its stochastic and distributionally robust counterparts with finite support are special cases.

A new linearization technique for minimax linear fractional programming …

WebSep 1, 2024 · The robust multi-objective fractional linear programming model (RMOLFP) was introduced to determine the sustainable optimal cropping pattern and the ability of the proposed model to apply uncertainty conditions was verified by the Monte Carlo simulation method. Highly Influenced PDF View 5 excerpts, cites background and methods WebAug 1, 2024 · To address these challenging issues, a robust fractional programming (RFP) method that coupled fractional programming with robust optimization was developed in … highlights ind vs sl odi https://modernelementshome.com

Global Optimization in Robust Fractional Control of Uncertain ...

WebJul 1, 2024 · As a prominent tool to tackle dual objective optimization problems, fractional programming (FP) can not only manipulate multiple objectives based on their original magnitudes but also optimize the ratio of two objectives (e.g. benefit/volume or output/input) ( Arya and Singh, 2024; Liu et al., 2003 ). http://nob.cs.ucdavis.edu/bishop/secprog/robust.html WebJul 16, 2013 · Following the framework of robust optimization, we establish strong duality between the robust counterpart of an uncertain minimax convex–concave fractional … highlights ind vs nz t20 2022

Robust Fractional Programming Journal of Optimization …

Category:Fractional 0–1 programming: applications and algorithms

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Robust fractional programming

Robust fractional programming approach for improving agricultural …

Web1 day ago · This paper discusses the robust trajectory tracking control of an autonomous tractor-trailer in agricultural applications. Firstly, considering the model parameter uncertainties and various disturbances, the kinematic and dynamic models of the autonomous tractor-trailer system are established. WebApr 14, 2024 · The robust possibilistic programming method is applied to tackle the uncertainties of wholesale electricity market price and prosumers’ electrical demand. In summary, the contributions of this paper are outlined as follows: A dynamic and flexible market for electricity and gas transactions among energy hub prosumers and retailers is …

Robust fractional programming

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WebSep 1, 2024 · To address these challenging issues, a robust fractional programming (RFP) method that coupled fractional programming with robust optimization was developed in this study to improve agricultural water-use efficiency under uncertainty. WebApr 15, 2024 · Catechol-modified bioadhesives generate hydrogen peroxide (H2O2) during the process of curing. A robust design experiment was utilized to tune the H2O2 release profile and adhesive performance of a catechol-modified polyethylene glycol (PEG) containing silica particles (SiP). An L9 orthogonal array was used to determine the relative …

WebJul 31, 2015 · To this end, by using the properties of the subdifferential sum formulae, we first introduce some robust basic subdifferential constraint qualifications, and then obtain some completely characterizations of the robust optimal solutions of this uncertain fractional optimization problem. WebWe derive a bound on the optimality gap as a function of the approximation errors at the iterate and prove that the number of iterations to attain an $\epsilon$-optimal solution is …

WebJan 1, 2024 · In this paper, we consider a class of robust nondifferentiable minimax fractional programming problems containing support functions in both the objective functions and in the constraints. WebSep 1, 2024 · We consider a class of nonlinear integer optimization problems commonly known as fractional 0–1 programming problems (also, often referred to as hyperbolic 0–1 programming problems), where...

WebNov 9, 2024 · ANFIS based robust intelligent controllers have been designed and optimized using LabVIEW as graphical programming tool. ... ... The comprehensive fractional order model of ACP1000 nuclear...

WebFeb 1, 2013 · It is shown that the robust counterpart under interval uncertainty is equivalent to a larger linear fractional program, however under ellipsoidal uncertainty it is equivalent to a linear... highlights ind vs nzWebA fractional program (FP) is an optimization problem, where the objective is a fraction of two functions. It can be used for an economical trade-off such as maximizing … highlights ind vs bangladeshWebAug 19, 2015 · Abstract: We extend Robust Optimization to fractional programming, where both the objective and the constraints contain uncertain parameters. Earlier work did not … highlights ind vs bangladesh final 2018http://nob.cs.ucdavis.edu/bishop/secprog/robust.html small pool square footageWebAug 13, 2014 · We extend robust optimization (RO) to fractional programming, where both the objective and the constraints contain uncertain parameters. Earlier work did not … highlights ind vs slWebA unified framework to study various versions of Dinkelbach-type algorithms for solving the generalized fractional programming problem is proposed and the convergence analysis can be carried out through geometric observations and fundamental properties of … small pool sweeperWebNov 1, 2011 · For linear fractional programming problems with constraint-wise interval uncertainty, we show that the dual of the robust counterpart is the optimistic counterpart in the sense that they are... small pool sticks