You are previewing International Journal of Applied Metaheuristic Computing (IJAMC) Volume 6, Issue 2.
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International Journal of Applied Metaheuristic Computing (IJAMC) Volume 6, 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:

  • A Local Search Approach to Solve a Financial Portfolio Design Problem
  • Hybridizing Artificial Bee Colony Algorithm with Multi-Parent Crossover Operator
  • New Genetic Operator (Jump Crossover) for the Traveling Salesman Problem
  • Genetic Algorithm for Solving the Resource Constrained Project Scheduling Problem