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

Toloo, M; Talatahari, S; Gandomi, AH; Rahimi, I

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

Toloo, M Talatahari, S Gandomi, AH Rahimi, I

Permalink

Publisher:: Elsevier
Publication Type:: Chapter
Citation:: Multi-Objective Combinatorial Optimization Problems and Solution Methods, 2022, pp. 1-9
Issue Date:: 2022-01-01

Closed Access

	Filename	Description	Size
	1---Multiobjective-combinatorial-optimi_2022_Multi-Objective-Combinatorial-O.pdf	Published version	1.11 MB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Toloo, M
dc.contributor.author	Talatahari, S
dc.contributor.author	Gandomi, AH
dc.contributor.author	Rahimi, I
dc.date.accessioned	2023-04-18T05:22:49Z
dc.date.available	2023-04-18T05:22:49Z
dc.date.issued	2022-01-01
dc.identifier.citation	Multi-Objective Combinatorial Optimization Problems and Solution Methods, 2022, pp. 1-9
dc.identifier.isbn	9780128238004
dc.identifier.uri	http://hdl.handle.net/10453/169959
dc.description.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.
dc.language	en
dc.publisher	Elsevier
dc.relation.ispartof	Multi-Objective Combinatorial Optimization Problems and Solution Methods
dc.relation.isbasedon	10.1016/B978-0-12-823799-1.00010-3
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Multiobjective combinatorial optimization problems: Social, keywords, and journal maps
dc.type	Chapter
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-18T05:22:48Z
pubs.publication-status	Published

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.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/169959