You are previewing International Journal of Applied Metaheuristic Computing (IJAMC) Volume 6, Issue 4.
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International Journal of Applied Metaheuristic Computing (IJAMC) Volume 6, Issue 4

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 OR Practitioner's Solution Approach for the Set Covering Problem
  • Gene Clustering Using Metaheuristic Optimization Algorithms
  • Bio-Inspired Techniques in the Clustering of Texts: Synthesis and Comparative Study
  • Multi-Objective Optimal Power Flow using BAT Search Algorithm with Unified Power Flow Controller for Minimization of Real Power Losses