You are previewing International Journal of Applied Metaheuristic Computing (IJAMC) Volume 5, Issue 2.
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International Journal of Applied Metaheuristic Computing (IJAMC) Volume 5, Issue 2

Book Description

The International Journal of Applied Metaheuristic Computing (IJAMC) 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.

This issue contains the following articles:

  • A Two-Phase Scheduling Method Combined to the Tabu Search for the DARP
  • Impacts of Scheduling Decisions Based On PSO Algorithm and Dispatching Rules on FMS Performances
  • Intrusion Detection Using Fuzzy Meta-Heuristic Approaches
  • The Great Salmon Run Metaheuristic for Robust Shape and Size Design of Truss Structures with Dynamic Constraints