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International Journal of Applied Metaheuristic Computing


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)

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:

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:  4
Best Quartile:




Q4:  Statistics and Probability

Journal Home:  Journal Homepage
Cite Score:  0.9
SNIP:  0.413
Journal Rank(SJR):  0.158
Publisher & Country:

Publisher:  IGI Global Publishing

Country:  United States