You are previewing International Journal of Applied Metaheuristic Computing (IJAMC) Volume 7, Issue 1.
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International Journal of Applied Metaheuristic Computing (IJAMC) Volume 7, Issue 1

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:

  • Cooperative Parallel Metaheuristics based Penguin Optimization Search for Solving the Vehicle Routing Problem
  • Using Hybrid Classifiers to Conduct Intangible Assets Evaluation
  • Nephron Algorithm Optimization: Inspired of the Biologic Nephron Performance
  • Error Optimization of Machine Vision based Tool Movement using a Hybrid CLONALG and PSO Algorithm