A critical review of the approaches to optimization problems under uncertainty
Date
2001
Authors
Editor(s)
Advisor
Tansel, Barbaros Ç.
Supervisor
Co-Advisor
Co-Supervisor
Instructor
BUIR Usage Stats
3
views
views
18
downloads
downloads
Series
Abstract
In this study, the issue of uncertainty in optimization problems is studied. First of all, the meaning and sources of uncertainty are explained and then possible ways of its representation are analyzed. About the modelling process, different approaches as sensitivity analysis, parametric programming, robust optimization, stochastic programming, fuzzy programming, multiobjective programming and imprecise optimization are presented with advantages and disadvantages from different perspectives. Some extensions of the concepts of imprecise optimization are also presented.
Source Title
Publisher
Course
Other identifiers
Book Title
Degree Discipline
Industrial Engineering
Degree Level
Master's
Degree Name
MS (Master of Science)
Citation
Permalink
Published Version (Please cite this version)
Collections
Language
English