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Comparative Study of Wolf Pack Algorithm and Artificial Bee Colony Algorithm: Performance Analysis and Optimization Exploration

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  • Qiang Peng

    (Engineering University of PAP, China)

  • Renjun Zhan

    (Engineering University of PAP, China)

  • Husheng Wu

    (Engineering University of PAP, China)

  • Meimei Shi

    (Engineering University of PAP, China)

Abstract

Swarm intelligence optimization algorithms have been widely used in the fields of machine learning, process control and engineering prediction, among which common algorithms include ant colony algorithm (ACO), artificial bee colony algorithm (ABC) and particle swarm optimization (PSO). Wolf pack algorithm (WPA) as a newer swarm intelligence optimization algorithm has many similarities with ABC. In this paper, the basic principles, algorithm implementation processes, and related improvement strategies of these two algorithms were described in detail; A comparative analysis of their performance in solving different feature-based standard CEC test functions was conducted, with a focus on optimization ability and convergence speed, re-validating the unique characteristics of these two algorithms in searching. In the end, the future development trend and prospect of intelligent optimization algorithms was discussed, which is of great reference significance for the research and application of swarm intelligence optimization algorithms.

Suggested Citation

  • Qiang Peng & Renjun Zhan & Husheng Wu & Meimei Shi, 2024. "Comparative Study of Wolf Pack Algorithm and Artificial Bee Colony Algorithm: Performance Analysis and Optimization Exploration," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 15(1), pages 1-24, January.
    • Handle: RePEc:igg:jsir00:v:15:y:2024:i:1:p:1-24
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    References listed on IDEAS

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    1. Shuxin Wang & Hairong You & Yinggao Yue & Li Cao, 2021. "A novel topology optimization of coverage-oriented strategy for wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 17(4), pages 15501477219, April.
    2. Qiming Zhu & Husheng Wu & Na Li & Jinqiang Hu & Rui Wang, 2021. "A Chaotic Disturbance Wolf Pack Algorithm for Solving Ultrahigh-Dimensional Complex Functions," Complexity, Hindawi, vol. 2021, pages 1-15, February.
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