A deep dive into the artificial bee colony algorithm: theory, improvements, and real-world applications

Authors

  • Saman M. Almufti

    Department of Computer Science, College of Science, Knowledge University, Erbil, Iraq

  • Awaz Ahmed Shaban

    Information Technology Department, Technical College of Informatics-Akre, Akre University for Applied Sciences, Duhok, Iraq

How to Cite

Almufti, S. M., & Shaban, A. A. . . (2025). A deep dive into the artificial bee colony algorithm: theory, improvements, and real-world applications. International Journal of Scientific World, 11(1), 178-187. https://doi.org/10.14419/v9d3s339

Received date: April 1, 2025

Accepted date: May 1, 2025

Published date: May 18, 2025

DOI:

https://doi.org/10.14419/v9d3s339

Keywords:

Artificial Bee Colony Algorithm; Metaheuristics; Swarm Intelligence; Optimization; Hybrid Algorithms

Abstract

Optimization plays a vital role in tackling complex challenges across diverse fields such as engineering, computer science, data mining, and machine learning. Conventional optimization techniques often face difficulties when dealing with high-dimensional and nonlinear problems, which has led to the rise of metaheuristic algorithms as effective alternatives. The Artificial Bee Colony (ABC) algorithm, developed by Karaboga in 2005, is a nature-inspired optimization method modeled after the foraging behavior of honeybees. ABC has proven to be highly effective in solving nonlinear, multidimensional, and NP-hard optimization problems. This paper reviews the ABC algorithm, explores its various enhancements designed to improve convergence speed and the balance between exploration and exploitation, and examines its broad applications in areas like engineering, data mining, and medical diagnostics. The ongoing advancements in ABC, including its integration with other algorithms and adaptive parameter control, highlight its importance in contemporary optimization tasks.

Author Biography

  • Saman M. Almufti, Department of Computer Science, College of Science, Knowledge University, Erbil, Iraq
    Swarm intellignce

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How to Cite

Almufti, S. M., & Shaban, A. A. . . (2025). A deep dive into the artificial bee colony algorithm: theory, improvements, and real-world applications. International Journal of Scientific World, 11(1), 178-187. https://doi.org/10.14419/v9d3s339

Received date: April 1, 2025

Accepted date: May 1, 2025

Published date: May 18, 2025