You are previewing International Journal of Applied Metaheuristic Computing (IJAMC) Volume 7, Issue 2.
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International Journal of Applied Metaheuristic Computing (IJAMC) Volume 7, Issue 2

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:

  • Performance Analysis of Multiple FEC Channel Coding Algorithms for Software Defined Radio Using Quadrature Amplitude Modulation
  • A New Approach for Analyzing the Performance of the WiMAX Networks based on QoS Traffic Prediction Routing Protocol using Gene Expression Programming
  • An Adaptive Second Order Neural Network with Genetic-Algorithm-based Training (ASONN-GA) to Forecast the Closing Prices of the Stock Market
  • Pe-DFA: Penguins Search Optimisation Algorithm for DNA Fragment Assembly