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简述蜂群算法理论研究

This Paper Briefly Introduces the Theoretical Research of Bee Colony Algorithm

Theoretical Mathematics Study / 2022,4(1): 36-41 / 2022-03-31 630 1342

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• Authors: 李佩佩     
• Information:

  黑龙江大学，黑龙江

• Keywords: 蜂群算法；采蜜行为；智能算法
• Colony algorithm; Honey gathering behavior; Intelligent algorithm
• Abstract: 蜂群算法是人们受到自然界中蜜蜂的行为启发而提出的一种新颖的智能优化算法。详细阐述了基于蜜蜂采蜜行为的蜂群算法的基本原理及研究情况。通过与遗传算法、蚁群算法、粒子群算法相比较，总结出蜂群算法的优缺点，并提出了未来研究的方向。
• Bee colony algorithm is a novel intelligent optimization algorithm inspired by the behavior of bees in nature. The basic principle and research situation of colony algorithm based on honey gathering behavior of bees are described in detail. Compared with genetic algorithm, ant colony algorithm and particle swarm algorithm, the advantages and disadvantages of bee colony algorithm are summarized, and the future research direction is proposed.
• DOI: https://doi.org/10.35534/tms.0401005c
• Cite: 李佩佩．简述蜂群算法理论研究［J］．理论数学前沿，2022，4（1）：36-41．