You are previewing International Journal of Applied Metaheuristic Computing (IJAMC) Volume 6, Issue 3.
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International Journal of Applied Metaheuristic Computing (IJAMC) Volume 6, Issue 3

Book Description

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.

This issue contains the following articles:

  • An Efficient Adaptive Strategy for Melody Search Algorithm
  • Identification of Helicopter Dynamics based on Flight Data using Nature Inspired Techniques
  • Resolution of a Vehicle Routing Problem with Simultaneous Pickup and Delivery: A Cooperative Approach
  • Performance Enhancement of Differential Evolution by Incorporating Lévy Flight and Chaotic Sequence for the Cases of Satellite Images