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A novel bio-inspired algorithm based on plant root growth model for data clustering
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
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
会议录名称Proceedings of the 35th Chinese Control Conference, CCC 2016
出版者IEEE Computer Society
出版地Washington, DC
2016
页码9183-9188
收录类别EI ; CPCI(ISTP)
EI收录号20163802827851
WOS记录号WOS:000400282205059
产权排序1
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
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文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/19246
专题信息服务与智能控制技术研究室
通讯作者Qi XB(亓祥波)
作者单位1.Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, 110016, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
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GB/T 7714
Qi XB,Zhu YL,Zhang H,et al. A novel bio-inspired algorithm based on plant root growth model for data clustering[C]//Southwest Jiaotong University; Systems Engineering Society of China; Technical Committee on Control Theory (TCCT), CAA. Washington, DC:IEEE Computer Society,2016:9183-9188.
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