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An idea based on plant root growth for numerical optimization
Qi XB(亓祥波); Zhu YL(朱云龙); Chen HN(陈瀚宁); Zhang DY(张丁一); Niu B(牛奔)
Department信息服务与智能控制技术研究室
Conference Name9th International Conference on Intelligent Computing, ICIC 2013
Conference DateJuly 28-31, 2013
Conference PlaceNanning, China
Author of SourceIEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Publication PlaceHeidelberg, Germany
2013
Pages571-578
Indexed ByEI
EI Accession number20133616695298
Contribution Rank1
ISSN0302-9743
ISBN978-3-642-39481-2
KeywordAnimals Intelligent Computing Particle Swarm Optimization (Pso)
AbstractMost bio-inspired algorithms simulate the behaviors of animals. This paper proposes a new plant-inspired algorithm named Root Mass Optimization (RMO). RMO simulates the root growth behavior of plants. Seven well-known benchmark functions are used to validate its optimization effect. We compared RMO with other existing animal-inspired algorithms, including artificial bee colony (ABC) and particle swarm optimization (PSO). The experimental results show that RMO outperforms other algorithms on most benchmark functions. RMO provides a new reference for solving optimization problems. © 2013 Springer-Verlag.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/12400
Collection信息服务与智能控制技术研究室
Recommended Citation
GB/T 7714
Qi XB,Zhu YL,Chen HN,et al. An idea based on plant root growth for numerical optimization[C]//IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China. Heidelberg, Germany:Springer Verlag,2013:571-578.
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