Multiobjective combinatorial optimization problems appear in a wide range of applications including operations research/management, engineering, biological sciences, and computer science. This work presents a brief analysis of most concepts and studies of solution approaches applied to multiobjective combinatorial optimization problems. A detailed scientometric analysis presents an influential tool for bibliometric analyses that were performed on multiobjective combinatorial optimization problems and the solution approaches data from the Scopus databases. To this end, we address social, keywords, and subject areas by employing two well-known tools: VOSviewer and Mendeley. Finally, the conclusion and discussion are provided with a couple of directions for future researches.
CITATION STYLE
Toloo, M., Talatahari, S., Gandomi, A. H., & Rahimi, I. (2022). Multiobjective combinatorial optimization problems: Social, keywords, and journal maps. In Multi-Objective Combinatorial Optimization Problems and Solution Methods (pp. 1–9). Elsevier. https://doi.org/10.1016/B978-0-12-823799-1.00010-3
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