Problèmes fractionnaires : tour d'horizon sur les applications et méthodes de résolution

Anass Nagih; Gérard Plateau

RAIRO - Operations Research (2010)

  • Volume: 33, Issue: 4, page 383-419
  • ISSN: 0399-0559

Abstract

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Fractional programming consists in optimizing a ratio of two functions subject to some constraints. Different versions of this model, linear or nonlinear, have applications in various fields like combinatorial optimization, stochastic programming, data bases, and economy. Three resolution methods are presented: direct solution, parametric approach and solution of an equivalent problem.

How to cite

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Nagih, Anass, and Plateau, Gérard. "Problèmes fractionnaires : tour d'horizon sur les applications et méthodes de résolution." RAIRO - Operations Research 33.4 (2010): 383-419. <http://eudml.org/doc/116596>.

@article{Nagih2010,
abstract = { Fractional programming consists in optimizing a ratio of two functions subject to some constraints. Different versions of this model, linear or nonlinear, have applications in various fields like combinatorial optimization, stochastic programming, data bases, and economy. Three resolution methods are presented: direct solution, parametric approach and solution of an equivalent problem. },
author = {Nagih, Anass, Plateau, Gérard},
journal = {RAIRO - Operations Research},
keywords = {Fractional programming; integer programming; modelisation; applications. ; fractional programming; modelization; applications; hyperbolic programs},
language = {eng},
month = {3},
number = {4},
pages = {383-419},
publisher = {EDP Sciences},
title = {Problèmes fractionnaires : tour d'horizon sur les applications et méthodes de résolution},
url = {http://eudml.org/doc/116596},
volume = {33},
year = {2010},
}

TY - JOUR
AU - Nagih, Anass
AU - Plateau, Gérard
TI - Problèmes fractionnaires : tour d'horizon sur les applications et méthodes de résolution
JO - RAIRO - Operations Research
DA - 2010/3//
PB - EDP Sciences
VL - 33
IS - 4
SP - 383
EP - 419
AB - Fractional programming consists in optimizing a ratio of two functions subject to some constraints. Different versions of this model, linear or nonlinear, have applications in various fields like combinatorial optimization, stochastic programming, data bases, and economy. Three resolution methods are presented: direct solution, parametric approach and solution of an equivalent problem.
LA - eng
KW - Fractional programming; integer programming; modelisation; applications. ; fractional programming; modelization; applications; hyperbolic programs
UR - http://eudml.org/doc/116596
ER -

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