Improved artificial bee colony algorithm with randomized Halton sequence | |
He, Zhen-An; Ma, Caiwen(马彩文) | |
2017 | |
会议名称 | 2nd IEEE International Conference on Computer and Communications, ICCC 2016 |
会议录名称 | 2016 2nd IEEE International Conference on Computer and Communications, ICCC 2016 - Proceedings |
页码 | 1270-1273 |
会议日期 | 2016-10-14 |
会议地点 | Chengdu, China |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
产权排序 | 1 |
摘要 | The artificial bee colony (ABC) algorithm has gained popularity for solutions to many real-world complex problems because of its simplicity and efficiency. However, it is good at exploration but poor at exploitation and early gets trapped into local optimum in some case, which prevents the artificial bee colony algorithm from finding the final result accuracy and efficiently for complex problems. It's known to all that population initialization is an important factor affecting convergence performance of ABC. In this paper, a modified artificial bee colony algorithm with randomized Halton sequence was proposed. A series of experiments were performed on benchmark functions to testify the superiority of our proposed algorithm, and results were compared with other initialization algorithms including opposition-based learning, random initialization and chaotic initialization. The results indicate that our proposed algorithm provides higher solution accuracy and faster convergence speed. © 2016 IEEE. |
作者部门 | 光电测量技术实验室 |
DOI | 10.1109/CompComm.2016.7924908 |
收录类别 | EI |
ISBN号 | 9781467390262 |
语种 | 英语 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/29008 |
专题 | 光电跟踪与测量技术研究室 |
作者单位 | Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, China |
推荐引用方式 GB/T 7714 | He, Zhen-An,Ma, Caiwen. Improved artificial bee colony algorithm with randomized Halton sequence[C]:Institute of Electrical and Electronics Engineers Inc.,2017:1270-1273. |
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