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MLA

Jarchelou, Samaneh Mohammadi, et al. "Optimizing Stock Portfolio Using the Particle Swarm Optimization Algorithm and Assessing PSO and Other Algorithms." IJAMC vol.15, no.1 2024: pp.1-13. https://doi.org/10.4018/IJAMC.362001

APA

Jarchelou, S. M., Vajargah, K. F., & Azhdari, P. (2024). Optimizing Stock Portfolio Using the Particle Swarm Optimization Algorithm and Assessing PSO and Other Algorithms. International Journal of Applied Metaheuristic Computing (IJAMC), 15(1), 1-13. https://doi.org/10.4018/IJAMC.362001

Chicago

Jarchelou, Samaneh Mohammadi, Kianoush Fathi Vajargah, and Parvin Azhdari. "Optimizing Stock Portfolio Using the Particle Swarm Optimization Algorithm and Assessing PSO and Other Algorithms," International Journal of Applied Metaheuristic Computing (IJAMC) 15, no.1: 1-13. https://doi.org/10.4018/IJAMC.362001

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Optimizing Stock Portfolio Using the Particle Swarm Optimization Algorithm and Assessing PSO and Other Algorithms

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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