site stats

Linear fractional programming

NettetIn this paper, we introduce a computer-oriented technique for solving Linear Fractional Programming (LFP) problem by converting it into a single Linear programming (LP) … NettetThis is a book on Linear-Fractional Programming (here and in what follows we will refer to it as "LFP"). The field of LFP, largely developed by Hungarian mathematician B. …

Linear programming relaxation - Wikipedia

Nettet1. feb. 2024 · Introduction. Linear fractional programming (LFP) problems are of great interest because of their extensive application areas such as resource allocation, transportation, production, finance, location theory, stochastic processes, Markov renewal programmes, information theory, applied linear algebra, large scale programming, … Nettet13. jun. 2024 · Linear fractional programming. The general form of linear fractional programming is as following: (1) (2) Where, A represents matrix with m row vectors and n column vectors; B and x represent the column vectors with n and m elements, respectively; C and D represent the row vector with n elements, respectively; and α and β means … total rushing yards nfl https://3dlights.net

An inexact fractional programming model for irrigation water …

Nettet1. apr. 2024 · Quart. 3 71-93.) for linear fractional programming and to the quadratic parametric approach by Ritter (Ritter, K. 1962. Ein Verfahren zur Lösung parameterabhängiger, ... NettetThe objective function in linear fractional programming is a ratio of two linear functions. A linear program can be regarded as a special case of a linear fractional programming problem in which the denominator is the constant function. Mathematically, linear fractional programming can be stated as Max/Min 𝑇 + 𝑇 Nettet27. jan. 2024 · Fractional programming has a great influence in the field of economics, industry, production planning, location analysis, etc. Different techniques have been … postprocedural hypothyroidism คือ

An iterative algorithm to solve a linear fractional programming problem ...

Category:A New Approach for Solving Linear Fractional Programming Problems with ...

Tags:Linear fractional programming

Linear fractional programming

Application of fuzzy random-based multi-objective linear fractional ...

Nettet27. nov. 2024 · This paper presents an efficient outer space branch-and-bound algorithm for globally solving a minimax linear fractional programming problem (MLFP), which has a wide range of applications in data envelopment analysis, engineering optimization, management optimization, and so on. In this algorithm, by introducing auxiliary … Nettet25. nov. 2024 · The main purpose of this paper is to delineate an algorithm for fractional programming with nonlinear as well as linear terms in the numerator and …

Linear fractional programming

Did you know?

NettetLinear programming problems (LPPs) are a significant type of optimization problems. These LPPs are used to solve various real-world problems such as production … In mathematical optimization, fractional programming is a generalization of linear-fractional programming. The objective function in a fractional program is a ratio of two functions that are in general nonlinear. The ratio to be optimized often describes some kind of efficiency of a system.

Nettetallocation, or economizing extremum (as in linear programming), but the extremum of a specific index number, usually the most favorable ratio of revenues and alloca- tions. In a recent paper[" CHARNES AND COOPER solved a programming problem with linear fractional functionals by resolving it into two linear programming problems. Nettet1. jun. 1981 · Abstract. The paper deals with decision problems that give rise to the optimization of ratios subject to constraints. These so called fractional programs have been treated in a considerable number of papers. It is attempted to survey applications as well as solution methods in linear, quadratic and concave-convex fractional …

Nettet5. mai 2013 · Linear fractional programming problems are useful tools in producti on planning, financial and corporate planning, health care and hospital planning and … NettetLinear-fractional program minimize cTx+d gTx+h subject to Ax ≤ b gTx+h ≥ 0 • if needed, we interpret a/0as a/0=+∞ if a > 0, a/0=−∞ if a ≤ 0 • however, in most applications, Ax ≤ b implies gTx+h > 0 equivalent form (with added variable α) minimize α subject to cTx+d ≤ α(fTx+g) Ax ≤ b fTx+g ≥ 0 Linear-fractional ...

Nettet27. jan. 2024 · Sharma, V.: Multi-objective integer non-linear fractional programming problem: a cutting plane approach. OPSEARCH 49, 133–153 (2012) Article MathSciNet Google Scholar Oz, E., Alp, S., Guzel, N.: An alternative solution to multi objective linear fractional programming problem by using geometric programming technique.

NettetFuzzy Sets and Systems. Periodical Home; Latest Issue; Archive; Authors; Affiliations; Home; Browse by Title; Periodicals; Fuzzy Sets and Systems total rush melbourneNettet1. jun. 1975 · Fractional programming problems take into account the situations where the decision maker is interested to maximize or minimize the ratios of some functions … postprocedural infectionNettet7. jul. 2024 · This paper presents an efficient branch-and-bound algorithm for globally solving a class of fractional programming problems, which are widely used in … total rushing yards super bowl