Cloud Model Bat Algorithm
Joint Authors
Li, Liangliang
Xie, Jian
Zhou, Yongquan
Ma, Mingzhi
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Bat algorithm (BA) is a novel stochastic global optimization algorithm.
Cloud model is an effective tool in transforming between qualitative concepts and their quantitative representation.
Based on the bat echolocation mechanism and excellent characteristics of cloud model on uncertainty knowledge representation, a new cloud model bat algorithm (CBA) is proposed.
This paper focuses on remodeling echolocation model based on living and preying characteristics of bats, utilizing the transformation theory of cloud model to depict the qualitative concept: “bats approach their prey.” Furthermore, Lévy flight mode and population information communication mechanism of bats are introduced to balance the advantage between exploration and exploitation.
The simulation results show that the cloud model bat algorithm has good performance on functions optimization.
American Psychological Association (APA)
Zhou, Yongquan& Xie, Jian& Li, Liangliang& Ma, Mingzhi. 2014. Cloud Model Bat Algorithm. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1048833
Modern Language Association (MLA)
Zhou, Yongquan…[et al.]. Cloud Model Bat Algorithm. The Scientific World Journal No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-1048833
American Medical Association (AMA)
Zhou, Yongquan& Xie, Jian& Li, Liangliang& Ma, Mingzhi. Cloud Model Bat Algorithm. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-1048833
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1048833