Cite Article
Cite Article
MLA
Yaghini, Niusha, and Mir Yasin Seyed Valizadeh. "An Artificial Bee Colony Algorithm for the Multidimensional Knapsack Problem: Using Design of Experiments for Parameter Tuning." IJAMC vol.15, no.1 2024: pp.1-23. https://doi.org/10.4018/IJAMC.350225
APA
Yaghini, N. & Valizadeh, M. Y. (2024). An Artificial Bee Colony Algorithm for the Multidimensional Knapsack Problem: Using Design of Experiments for Parameter Tuning. International Journal of Applied Metaheuristic Computing (IJAMC), 15 (1), 1-23. https://doi.org/10.4018/IJAMC.350225
Chicago
Yaghini, Niusha, and Mir Yasin Seyed Valizadeh. "An Artificial Bee Colony Algorithm for the Multidimensional Knapsack Problem: Using Design of Experiments for Parameter Tuning," International Journal of Applied Metaheuristic Computing (IJAMC) 15, no.1: 1-23. https://doi.org/10.4018/IJAMC.350225
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International Journal of Applied Metaheuristic Computing (IJAMC) 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.
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