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.
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
Q4:  Statistics and Probability
Publisher:  IGI Global Publishing
Country:  United States