Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Saha, Saibal Kumar; Diyaley, Sunny Title A name given to the resource Bibliometric Analysis on Multiobjective Optimization and Metaheuristic Algorithm Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Intelligent Machining: Using Computational Intelligence to Optimize Manufacturing Processes;pp.27-50 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1201/9781774919590-3" target="_blank" rel="noreferrer noopener">https://doi.org/10.1201/9781774919590-3</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105023793487?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105023793487?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Saha S.K., School of Business and Management, Christ University, India; Diyaley S., Department of Mechanical Engineering, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India Description An account of the resource For difficult optimization issues, metaheuristic algorithms are effective methods for obtaining workable solutions quickly. In the past few years, continuous efforts have been put forward by researchers to develop new effective and robust metaheuristic algorithms for solving engineering optimization problems. The research aims to find the advancements made in multi-objective optimization and metaheuristic algorithms. Metadata of 4149 articles were extracted from Scopus from the year 2000 onward and bibliometric analysis was done with the help of the VOSviewer software. It was found that Mirjalili. S. has the highest number of citations (4011). IEEE Access has published the maximum number of documents (128), the University of Tehrans School of Industrial Engineering has contributed the most in this field of research (43 documents), and China has the most contribution among all the countries with 977 documents. In recent years, the terms optimization algorithms, exploration and exploitation, learning systems, decision-making, uncertainty analysis, sustainable development, supply chains, neural networks, forecasting, machine learning, and cloud computing are being mostly used by researchers. 2026 by Apple Academic Press, Inc. Subject The topic of the resource bibliographic coupling; bibliometric analysis; co-citation analysis; metaheuristic; multi-objective optimization; optimization problems; VOSviewer Publisher An entity responsible for making the resource available Apple Academic Press Relation A related resource ISBN: 978-104081278-5; 978-177491958-3; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online