Research trends in combinatorial optimization

Jann Michael Weinand; Kenneth Sörensen; Pablo San Segundo; Max Kleinebrahm; Russell McKenna

doi:10.1111/itor.12996

Research trends in combinatorial optimization

Jann Michael Weinand^* (Corresponding Author), Kenneth Sörensen, Pablo San Segundo, Max Kleinebrahm, Russell McKenna

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

21 Citations (Scopus)

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Abstract

Real-world problems are becoming highly complex and therefore have to be solved with combinatorial optimization (CO) techniques. Motivated by the strong increase in publications on CO, 8393 articles from this research field are subjected to a bibliometric analysis. The corpus of literature is examined using mathematical methods and a novel algorithm for keyword analysis. In addition to the most relevant countries, organizations, and authors as well as their collaborations, the most pertinent CO problems, solution methods, and application areas are presented. Publications on CO focus mainly on the development or enhancement of metaheuristics like genetic algorithms. The increasingly problem-oriented studies deal particularly with real-world applications within the energy sector, production sector, or data management, which are of increasing relevance due to various global developments. The demonstration of global research trends in CO can support researchers in identifying the relevant issues regarding this expanding and transforming research area.

Original language	English
Pages (from-to)	667-705
Number of pages	39
Journal	International Transaction in Operation Research
Volume	29
Issue number	2
Early online date	27 May 2021
DOIs	https://doi.org/10.1111/itor.12996
Publication status	Published - 31 Mar 2022

Bibliographical note

Acknowledgments
This work has been partially funded by the Spanish Ministry of Science, Innovation, and Universities through the project COGDRIVE (DPI2017-86915-C3-3-R). In this context, we would also like to thank the Karlsruhe Institute of Technology.

Open access funding enabled and organized by Projekt DEAL.

Keywords

combinatorial optimization
OR in energy
exact algorithms
genetic algorithms
metaheuristics
bibliometric analysis

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Weinand_etal_ITOR_Research_Trends_In_VoR
© 2021 The Authors. International Transactions in Operational Research published by John Wiley & Sons Ltd on behalf of International Federation of Operational Research Societies This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. https://creativecommons.org/licenses/by/4.0/
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Cite this

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abstract = "Real-world problems are becoming highly complex and therefore have to be solved with combinatorial optimization (CO) techniques. Motivated by the strong increase in publications on CO, 8393 articles from this research field are subjected to a bibliometric analysis. The corpus of literature is examined using mathematical methods and a novel algorithm for keyword analysis. In addition to the most relevant countries, organizations, and authors as well as their collaborations, the most pertinent CO problems, solution methods, and application areas are presented. Publications on CO focus mainly on the development or enhancement of metaheuristics like genetic algorithms. The increasingly problem-oriented studies deal particularly with real-world applications within the energy sector, production sector, or data management, which are of increasing relevance due to various global developments. The demonstration of global research trends in CO can support researchers in identifying the relevant issues regarding this expanding and transforming research area.",

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Research trends in combinatorial optimization

Abstract

Bibliographical note

Keywords

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