摘要
本文设计了交叉变异机制下的全局混沌人工蜂群算法,借鉴遗传算法引入交叉变异机制与全局最优值进行交叉操作来提高算法的探索和开发能力。为了验证所设计算法的有效性,选择8个基准函数对进行测试,并与基本人工蜂群算法和全局人工蜂群算法进行对比,实验结果显示所设计算法在收敛速度和精度上优于其他两种方法。
This paper designs the global chaotic artificial bee colony algorithm under the cross mutation mechanism. The genetic algorithm is introduced to cross mutation mechanism and global optimal value for cross operation in order to improve the exploration and development ability of the algorithm. In order to verify the validity of the designed algorithm, eight benchmark function pairs are selected and it is compared with the basic artificial bee colony algorithm and the global artificial bee colony algorithm. The experimental results show that the designed algorithm outperforms the other two ways in convergence speed and accuracy.
作者
智慧
ZHI Hui(Xi＇an University of Architecture and Technology Huaqing College,Xi＇an 710043,China)
出处
《价值工程》
2018年第28期249-251,共3页
Value Engineering
基金
西安建筑科技大学华清学院自然科学专项基金项目
项目编号17KY01
