A Two-Step Method for Solving Vector Optimization Problems on Permutation Configuration-Reference-Cited by-同舟云学术

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A Two-Step Method for Solving Vector Optimization Problems on Permutation Configuration

Published:2021-05 Issue:3 Volume:57 Page:442-454
ISSN:1060-0396
Container-title:Cybernetics and Systems Analysis
language:en
Short-container-title:Cybern Syst Anal

Author:

Koliechkina L. N.,Dvirna O. A.,Khovben S. V.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s10559-021-00369-3.pdf

Reference35 articles.

1. J. Jahn, Vector Optimization: Theory, Applications and Extensions, Springer-Verlag, Berlin–Heidelberg (2004).

2. V. Emelichev, K. Kuzmin, and Y. Nikulin, “Stability analysis of the Pareto optimal solutions for some vector boolean optimization problem,” Optimization, Vol. 54, No. 6, 545–561 (2005).

3. A. Engau and D. Sigler, “Pareto solutions in multicriteria optimization under uncertainty,” Europ. J. Oper. Research, Vol. 281, No. 2, 357–368 (2020).

4. M. Ehrgott and M. Wiecek, “Mutiobjective programming,” in: J. Figueira, S. Greco, and M. Ehrgott (eds.), Multiple Criteria Decision Analysis: State of the Art Surveys, Springer, New York (2005), pp. 667–708.

5. V. V. Podinovski, “Decision making under uncertainty with unknown utility function and rank-ordered probabilities,” Europ. J. Oper. Research, Vol. 239, No. 2, 537–541 (2014).

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