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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)
Department信息服务与智能控制技术研究室
Conference Name35th Chinese Control Conference, CCC 2016
Conference DateJuly 27-29, 2016
Conference PlaceChengdu, China
Author of SourceSouthwest Jiaotong University; Systems Engineering Society of China; Technical Committee on Control Theory (TCCT), CAA
Source PublicationProceedings of the 35th Chinese Control Conference, CCC 2016
PublisherIEEE Computer Society
Publication PlaceWashington, DC
2016
Pages9183-9188
Indexed ByEI ; CPCI(ISTP)
EI Accession number20163802827851
WOS IDWOS:000400282205059
Contribution Rank1
ISSN1934-1768
ISBN978-9-8815-6391-0
KeywordArtificial Root Mass Optimization Algorithm Genetic Algorithm Particle Swarm Optimization Algorithm
AbstractInspired 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.
Language英语
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Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/19246
Collection信息服务与智能控制技术研究室
Corresponding AuthorQi XB(亓祥波)
Affiliation1.Shenyang Institute of Automation Chinese Academy of Sciences, Shenyang, 110016, China
2.University of Chinese Academy of Sciences, Beijing, 100049, China
Recommended Citation
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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