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International Journal of Applied Metaheuristic Computing - IGI Global | 2021 Cite Score:1.3|Q4

International Journal of Applied Metaheuristic Computing With Cite Score

Cite Score and Journal Rank of International Journal of Applied Metaheuristic Computing

About:

The International Journal of Applied Metaheuristic Computing (IJAMC) is a rigorous refereed journal that publishes high quality, innovative research on the latest developments, models, and applications within the transdisciplinary fields related to metaheuristic computing. Providing researchers, practitioners, and academicians with insight into a wide range of topics such as genetic algorithms, differential evolution, and ant colony optimization, this journal contains useful articles for those seeking to learn, analyze, improve, and apply technologies within metaheuristic computing.

Journal Home:  Journal Homepage

Editor-in-Chief:  Peng-Yeng Yin (National Chi Nan University, Taiwan)

scope: The engineering and business problems the world faces today have become more impenetrable and unstructured, making the design of a satisfactory problem-specific algorithm nontrivial. Alternatively, researchers and practitioners look for generic metaheuristic computing that guides the course of a heuristic to search beyond the local optimality, which impairs the capability of traditional computation methods.

Print ISSN:  1947-8283

Electronic ISSN:  1947-8291

Abstracting and Indexing:  Scopus Emerging Sources Citation Index

Imapct Factor :  

Subject Area and Category:  Computer Science,Computational Theory and Mathematics,Computer Science Applications,Decision Sciences,Decision Sciences (miscellaneous),Mathematics,Computational Mathematics,Control and Optimization, Modeling and Simulation,Statistics and Probability

Publication Frequency:  

H Index:  6

Best Quartile:

Q1:  

Q2:  

Q3:  

Q4:  Statistics and Probability

Cite Score:  1.3

SNIP:  0.52

Journal Rank(SJR):  0.238

Publisher:  IGI Global Publishing

Country:  United States