New Dandelion Algorithm Optimizes Extreme Learning Machine for Biomedical Classification Problems
Joint Authors
Li, Xiguang
Han, Shoufei
Zhao, Liang
Gong, Changqing
Liu, Xiaojing
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-11
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Inspired by the behavior of dandelion sowing, a new novel swarm intelligence algorithm, namely, dandelion algorithm (DA), is proposed for global optimization of complex functions in this paper.
In DA, the dandelion population will be divided into two subpopulations, and different subpopulations will undergo different sowing behaviors.
Moreover, another sowing method is designed to jump out of local optimum.
In order to demonstrate the validation of DA, we compare the proposed algorithm with other existing algorithms, including bat algorithm, particle swarm optimization, and enhanced fireworks algorithm.
Simulations show that the proposed algorithm seems much superior to other algorithms.
At the same time, the proposed algorithm can be applied to optimize extreme learning machine (ELM) for biomedical classification problems, and the effect is considerable.
At last, we use different fusion methods to form different fusion classifiers, and the fusion classifiers can achieve higher accuracy and better stability to some extent.
American Psychological Association (APA)
Li, Xiguang& Han, Shoufei& Zhao, Liang& Gong, Changqing& Liu, Xiaojing. 2017. New Dandelion Algorithm Optimizes Extreme Learning Machine for Biomedical Classification Problems. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1140959
Modern Language Association (MLA)
Li, Xiguang…[et al.]. New Dandelion Algorithm Optimizes Extreme Learning Machine for Biomedical Classification Problems. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1140959
American Medical Association (AMA)
Li, Xiguang& Han, Shoufei& Zhao, Liang& Gong, Changqing& Liu, Xiaojing. New Dandelion Algorithm Optimizes Extreme Learning Machine for Biomedical Classification Problems. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1140959
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1140959