A Utility Theory Based Interactive Approach to Robustness in Linear Optimization-Reference-Cited by-同舟云学术

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A Utility Theory Based Interactive Approach to Robustness in Linear Optimization

Published:2017-10-30 Issue:4 Volume:70 Page:811-842
ISSN:0925-5001
Container-title:Journal of Global Optimization
language:en
Short-container-title:J Glob Optim

Author:

Karimi Mehdi^ORCID,Moazeni Somayeh,Tunçel Levent

Funder

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada (CA)

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Management Science and Operations Research,Control and Optimization,Computer Science Applications

Link

http://link.springer.com/article/10.1007/s10898-017-0581-2/fulltext.html

Reference67 articles.

1. Anderson, J., Jibrin, S.: An interior point method for linear programming using weighted analytic centers. J. Ariz. Nev. Acad. Sci. 41(1), 1–7 (2009)

2. Anstreicher, K.M.: On Vaidya’s volumetric cutting plane method for convex programming. Math. Oper. Res. 22, 63–89 (1997)

3. Ardel, A., Oren, S.: Using approximate gradients in developing an interactive interior primal-dual multiobjective linear programming algorithm. Eur. J. Oper. Res. 89, 202–211 (1996)

4. Atkinson, D.S., Vaidya, P.M.: A cutting plane algorithm for convex programming that uses analytic centers. Math. Program. 69(1-3), 1–43 (1995)

5. Ben-Tal, A., Boyd, S., Nemirovski, A.: Extending scope of robust optimization: comprehensive robust counterparts of uncertain problems. Math. Program. 107, 63–89 (2006)

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