Lagrange relaxation based method for the QoS routing problem

A Juttner, B Szviatovski, I Mécs… - … IEEE INFOCOM 2001 …, 2001 - ieeexplore.ieee.org
In this paper a practically efficient QoS routing method is presented, which provides a
solution to the delay constrained least cost routing problem. The algorithm uses the concept …

Fractional programming

S Schaible - Handbook of global optimization, 1995 - Springer
An introduction to ratio optimization problems is provided which covers various applications
as well as major theoretical and algorithmic developments. In addition to an extensive …

[PDF][PDF] Recent developments in fractional programming: single-ratio and max-min case

S Schaible, J Shi - Nonlinear analysis and convex analysis, 2004 - academia.edu
We review some recent developments in single-ratio and generalized fractional
programming. In the latter case we focus on the maximization of the smallest of several …

[LLIBRE][B] Fractional programming

JBG Frenk, S Schaible - 2005 - Springer
Single-ratio and multi-ratio fractional programs in applications are often generalized convex
programs. We begin with a survey of applications of single-ratio fractional programs, min …

Mathematical optimization ideas for biodiversity conservation

A Billionnet - European Journal of Operational Research, 2013 - Elsevier
Several major environmental issues like biodiversity loss and climate change currently
concern the international community. These topics that are related to the development of …

A survey of effective heuristics and their application to a variety of knapsack problems

C Wilbaut, S Hanafi, S Salhi - IMA journal of management …, 2008 - academic.oup.com
We present a family of knapsack problems (KPs) while highlighting their particular
applications. Though most of the problems are derived from the classical KP, the differences …

[LLIBRE][B] Applications of combinatorial optimization

VT Paschos - 2014 - books.google.com
Combinatorial optimization is a multidisciplinary scientific area, lying in the interface of three
major scientific domains: mathematics, theoretical computer science and management. The …

Fractional 0–1 programming: applications and algorithms

JS Borrero, C Gillen, OA Prokopyev - Journal of Global Optimization, 2017 - Springer
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 …

A mixed-integer fractional optimization approach to best subset selection

A Gómez, OA Prokopyev - INFORMS Journal on Computing, 2021 - pubsonline.informs.org
We consider the best subset selection problem in linear regression—that is, finding a
parsimonious subset of the regression variables that provides the best fit to the data …

A sixth bibliography of fractional programming

IM Stancu-Minasian - Optimization, 2006 - Taylor & Francis
This bibliography of fractional programming is a continuation of five previous bibliographies
by the author (Pure Appl. Math. Sci.(India), Vol. XIII, No. 1–2, 35–69, March (1981); ibid. Vol …