Exact algorithms for multiobjective linear optimization problems with integer variables: A state of the art survey-Reference-Cited by-同舟云学术

Exact algorithms for multiobjective linear optimization problems with integer variables: A state of the art survey

Published:2022-03-10 Issue:5-6 Volume:29 Page:341-363
ISSN:1057-9214
Container-title:Journal of Multi-Criteria Decision Analysis
language:en
Short-container-title:Multi Criteria Decision Anal

Author:

Halffmann Pascal¹^ORCID,Schäfer Luca E.²³,Dächert Kerstin⁴,Klamroth Kathrin⁵,Ruzika Stefan²

Affiliation:

1. Abteilung Finanzmathematik Fraunhofer‐Institut für Techno‐ und Wirtschaftsmathematik ITWM Kaiserslautern Germany

2. Arbeitsgruppe Optimierung, Fachbereich Mathematik Technische Universität Kaiserslautern Kaiserslautern Germany

3. Comma Soft AG Bonn Germany

4. Faculty of Computer Science/Mathematics Dresden University of Applied Sciences Dresden Germany

5. Arbeitsgruppe Optimierung, Fakultät Mathematik und Naturwissenschaften Bergische Universität Wuppertal Wuppertal Germany

Funder

Bundesministerium für Bildung und Forschung

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Strategy and Management,General Decision Sciences

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mcda.1780

Reference196 articles.

1. An Algorithm For Solving Multiple Objective Integer Linear Programming Problem

2. Efficient cuts for generating the non-dominated vectors for Multiple Objective Integer Linear Programming

3. Bibliographic zur vektoroptimierung (theorie und anwendungen)

4. Adelgren N. Belotti P. &Gupte A.(2014).Enhancing fathoming rules in branch‐and‐bound for biobjective mixed‐integer programming. Clemson University.https://mip2014.engineering.osu.edu/sites/mip2014.engineering.osu.edu/files/uploads/Nathan-Adelgren.pdf.

5. Efficient Storage of Pareto Points in Biobjective Mixed Integer Programming

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