A practical guide to robust optimization

Title A practical guide to robust optimization
Author Gorissen, B. L., Yanıkoğlu, İhsan, Hertog, D. den
Publication Date: 2015-06
Publication Place - Elsevier
Subject Robust optimization, Adjustable robust optimization
Type Periodical
Language English
Digital Yes
Manuscript No
Library: Özyeğin University
Library Asset ID 0305-0483
Record ID 5f333582-9cb0-442b-bdc4-821abe8b092d
Library Location Industrial Engineering
Date 2015-06
Sample Text Robust optimization is a young and active research field that has been mainly developed in the last 15 years. Robust optimization is very useful for practice, since it is tailored to the information at hand, and it leads to computationally tractable formulations. It is therefore remarkable that real-life applications of robust optimization are still lagging behind; there is much more potential for real-life applications than has been exploited hitherto. The aim of this paper is to help practitioners to understand robust optimization and to successfully apply it in practice. We provide a brief introduction to robust optimization, and also describe important do׳s and don׳ts for using it in practice. We use many small examples to illustrate our discussions.
DOI 10.1016/j.omega.2014.12.006
Cilt 53
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A practical guide to robust optimization

Author Gorissen, B. L., Yanıkoğlu, İhsan, Hertog, D. den
Publication Date 2015-06
Publication Place - Elsevier
Subject Robust optimization, Adjustable robust optimization
Type Periodical
Language English
Digital Yes
Manuscript No
Library Özyeğin University
Library Asset ID 0305-0483
Record ID 5f333582-9cb0-442b-bdc4-821abe8b092d
Library Location Industrial Engineering
Date 2015-06
Sample Text Robust optimization is a young and active research field that has been mainly developed in the last 15 years. Robust optimization is very useful for practice, since it is tailored to the information at hand, and it leads to computationally tractable formulations. It is therefore remarkable that real-life applications of robust optimization are still lagging behind; there is much more potential for real-life applications than has been exploited hitherto. The aim of this paper is to help practitioners to understand robust optimization and to successfully apply it in practice. We provide a brief introduction to robust optimization, and also describe important do׳s and don׳ts for using it in practice. We use many small examples to illustrate our discussions.
DOI 10.1016/j.omega.2014.12.006
Cilt 53
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