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题名:
A novel bio-inspired algorithm based on plant root growth model for data clustering
作者: Qi XB(亓祥波); Zhu YL(朱云龙); Zhang H(张浩); Zhang DY(张丁一); Wu JW(吴俊伟)
作者部门: 信息服务与智能控制技术研究室
通讯作者: 亓祥波
会议名称: 35th Chinese Control Conference, CCC 2016
会议日期: July 27-29, 2016
会议地点: Chengdu, China
会议主办者: Southwest Jiaotong University; Systems Engineering Society of China; Technical Committee on Control Theory (TCCT), CAA
会议录: Proceedings of the 35th Chinese Control Conference, CCC 2016
会议录出版者: IEEE Computer Society
会议录出版地: Washington, DC
出版日期: 2016
页码: 9183-9188
收录类别: EI
ISSN号: 1934-1768
ISBN号: 978-9-8815-6391-0
关键词: Artificial root mass optimization algorithm ; genetic algorithm ; particle swarm optimization algorithm
摘要: Inspired by the behaviors of plant root growth, an Artificial Root Mass (ARM) optimization algorithm based on an artificial root model is proposed. This ARM algorithm simulates the plant's root growth strategies including proliferation and 'intelligent' decisions about growth directions. Ten well-known benchmark functions are employed to validate its optimization effect. ARM is compared with other existing algorithms, including genetic algorithm (GA), particle swarm optimization (PSO) and differential evolution (DE). The experimental results show that ARM seems much superior to other algorithms on the selected benchmark functions in multidimensional cases. ARM algorithm is used for data clustering on several benchmark datasets. The performance of the ARM algorithm is compared with GA, PSO and DE on clustering problems. The simulation results show that the proposed ARM outperforms the other three algorithms in terms of accuracy and robustness on most of selected datasets. The proposed algorithm ARM provides a new reference for solving data clustering problems.
语种: 英语
产权排序: 1
EI收录号: 20163802827851
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/19246
Appears in Collections:信息服务与智能控制技术研究室_会议论文

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Recommended Citation:
Qi XB,Zhu YL,Zhang H,et al. A novel bio-inspired algorithm based on plant root growth model for data clustering[C]. 35th Chinese Control Conference, CCC 2016. Chengdu, China. July 27-29, 2016.A novel bio-inspired algorithm based on plant root growth model for data clustering.
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