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The Rise of Metaheuristics

By IGI Global on Aug 27, 2010
Metaheuristic computing is a constantly growing research field that works strongly in conjunction with related fields such as optimization, specifically encompassing ant colony optimization and particle swarm optimization, evolutionary computing, and algorithms, including culture algorithms, foraging algorithms, genetic algorithms, greedy algorithms, immune algorithms, and memetic algorithms. This interdisciplinary subject combines many different aspects of computing to create an entirely new and important computational field.

International Journal of Applied Metaheuristic ComputingIGI Global, an information science and technology publisher, is making great strides in fulfilling the need for research covering this subject area. The International Journal of Applied Metaheuristic Computing (IJAMC) (Editor-in-chief Peng-Yeng Yin, National Chi Nan University) is a rigorous refereed journal that published 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 mission of IJAMC is to publish and disseminate original research on modeling, analysis, and applications in 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. Providing a forum for researchers, scientists, practitioners and students who wish to learn, analyze, improve and apply technologies in metaheuristic computing, IJAMC provides insights into all aspects of metaheuristic computing that take full advantage of higher level problem solving without a hassle to design problem-specific operations each time a new application appears. This double-blind peer reviewed journal has been published quarterly since January 2010. For more information on IJAMC please visit www.igi-global.com/ijamc.

Among Related Titles Are:

• Particle Swarm Optimization and Intelligence: Advances and Applications ( www.igi-global.com/Bookstore/TitleDetails.aspx?TitleId=37246)
• Multi-Agent Applications with Evolutionary Computation and Biologically Inspired Technologies: Intelligent Techniques for Ubiquity and Optimization ( www.igi-global.com/Bookstore/TitleDetails.aspx?TitleId=40266)
• Artificial Higher Order Neural Networks for Computer Science and Engineering: Trends for Emerging Applications ( www.igi-global.com/Bookstore/TitleDetails.aspx?TitleId=37265)
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