A New Approach of Solving Linear Fractional Programming Problem (LFP) by Using Computer Algorithm

Autor:	Rabindra Nath Mondal, Md. Kutub Uddin, Md. Rezwan Hossain, Sumon Kumar Saha
Rok vydání:	2015
Předmět:	Mathematical optimization Quantitative Biology::Neurons and Cognition Computer program Linear programming Computer science Fortran Type (model theory) Computer algorithm Linear-fractional programming Fractional programming Simple (abstract algebra) computer Algorithm computer.programming_language
Zdroj:	Open Journal of Optimization. :74-86
ISSN:	2325-7091 2325-7105
Popis:	In this paper, we study a new approach for solving linear fractional programming problem (LFP) by converting it into a single Linear Programming (LP) Problem, which can be solved by using any type of linear fractional programming technique. In the objective function of an LFP, if β is negative, the available methods are failed to solve, while our proposed method is capable of solving such problems. In the present paper, we propose a new method and develop FORTRAN programs to solve the problem. The optimal LFP solution procedure is illustrated with numerical examples and also by a computer program. We also compare our method with other available methods for solving LFP problems. Our proposed method of linear fractional programming (LFP) problem is very simple and easy to understand and apply.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::93eae65c6eb0ea59f16a2acaef1f5d83 https://doi.org/10.4236/ojop.2015.43010 Zobrazit plný text záznamu