人工蜂群算法及其应用

为促进人工蜂群算法理论和应用的发展, 在分析人工蜂群算法的基本原理基础上, 针对算法的不足, 全面地归纳了国内外学者对算法的改进研究, 对算法的蜜源初始化、更新策略的改进、调整策略的改进、适应度函数的选择以及与其他算法的融合进行综述, 提出了更有效的改进策略。同时从多方面综述了人工蜂群算法的应用, 并对人工蜂群算法的发展方向进行了总结和展望。

Artificial Bee Colony Algorithm and Its Application

As a new type of intelligent optimization method, artificial colony algorithm possesses a vast of advantages, such as having fewer parameters, faster speed of convergence, easier combination with other algorithms and especially strong robustness. Therefore, because of many scholars‘’concern, the algorithm gets improvements and extensive applications. Firstly, the basic principle of artificial colony algorithm is introduced; Secondly, aiming at the shortcomings of the algorithm, the improvements of the algorithm are comprehensively summarized throughout the research of domestic and overseas, and it mainly concentrated on the bee initialization method, the improvement of update and adjust strategy, the selection of fitness function and combination with other algorithms; Thirdly, the applications of artificial colony algorithm are reviewed from many aspects; Finally, the development direction of artificial colony algorithm in the future is discussed.