Multiobjective combinatorial optimization problems: Social, keywords, and journal maps

Mehdi Toloo, Siamak Talatahari, Amir H. Gandomi, Iman Rahimi

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

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.

Original languageEnglish
Title of host publicationMulti-Objective Combinatorial Optimization Problems and Solution Methods
PublisherElsevier
Pages1-9
Number of pages9
ISBN (Electronic)9780128237991
ISBN (Print)9780128238004
DOIs
Publication statusPublished - Jan 1 2022

Publication series

NameMulti-Objective Combinatorial Optimization Problems and Solution Methods

Keywords

  • Combinatorial optimization problems
  • Multiobjective combinatorial optimization
  • Scientific analysis
  • Solution approaches

ASJC Scopus subject areas

  • General Biochemistry,Genetics and Molecular Biology

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