You are previewing International Journal of Applied Metaheuristic Computing (IJAMC) Volume 7, Issue 3.
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International Journal of Applied Metaheuristic Computing (IJAMC) Volume 7, 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:

  • Using Particle Swarm Optimization (PSO) Algorithm in Nonlinear Regression Well Test Analysis and Its Comparison with Levenberg-Marquardt Algorithm
  • Discrete Fireworks Algorithm for Single Machine Scheduling Problems
  • Using a Bio-Inspired Algorithm to Resolve the Multiple Sequence Alignment Problem
  • Protein Motif Comparator using PSO K-Means