A Novel Approach for Solving Quadratic Fractional Programming Problems

Autor: Mustafa Sivri, Inci Albayrak, Gizem Temelcan
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Croatian Operational Research Review, Vol 9, Iss 2, Pp 199-209 (2018)
Druh dokumentu: article
ISSN: 1848-0225
1848-9931
DOI: 10.17535/crorr.2018.0015
Popis: In this paper, quadratic fractional programming (QFP) problems involving a factorized or non-factorized objective function and subject to homogenous or non-homogenous constraints are considered. Our proposed approach depends on a computational method that converts the QFP problem into a linear programming (LP) problem by using a Taylor series to solve the problem algebraically. This approach, based on the solution of LP problems, can be applied to various types of nonlinear fractional programming problems containing nonlinear constraint(s), and minimizes the total execution time on iterative operations. To illustrate the solution process, two examples are presented and the proposed approach is compared with other two existing methods for solving QFP problems.
Databáze: Directory of Open Access Journals