A novel bio-inspired algorithm based on plant root growth model for data clustering

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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)
	2016
会议名称	35th Chinese Control Conference, CCC 2016
会议日期	July 27-29, 2016
会议地点	Chengdu, China
关键词	Artificial root mass optimization algorithm genetic algorithm particle swarm optimization algorithm
页码	9183-9188
通讯作者	亓祥波
中文摘要	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.
收录类别	EI
产权排序	1
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
语种	英语
ISSN号	1934-1768
ISBN号	978-9-8815-6391-0
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/19246]
专题	沈阳自动化研究所_信息服务与智能控制技术研究室
推荐引用方式 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]. 见:35th Chinese Control Conference, CCC 2016. Chengdu, China. July 27-29, 2016.