KIT | KIT-Bibliothek | Impressum | Datenschutz

Research trends in combinatorial optimization

Weinand, Jann Michael 1; Sörensen, Kenneth; San Segundo, Pablo; Kleinebrahm, Max 1; McKenna, Russell
1 Institut für Industriebetriebslehre und Industrielle Produktion (IIP), Karlsruher Institut für Technologie (KIT)

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.

Verlagsausgabe §
DOI: 10.5445/IR/1000133408
Veröffentlicht am 31.05.2021
DOI: 10.1111/itor.12996
Zitationen: 3
Zitationen: 5
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Industriebetriebslehre und Industrielle Produktion (IIP)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 03.2022
Sprache Englisch
Identifikator ISSN: 0969-6016, 1475-3995
KITopen-ID: 1000133408
Erschienen in International transactions in operational research
Verlag John Wiley and Sons
Band 29
Heft 2
Seiten 667-705
Vorab online veröffentlicht am 27.05.2021
Nachgewiesen in Scopus
Web of Science
KIT – Die Forschungsuniversität in der Helmholtz-Gemeinschaft
KITopen Landing Page