Cockroach swarm optimization using : a neighborhood-based strategy
Joint Authors
Song, Yanhong
Bian, Yuetang
Cheng, Lei
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 4 (31 Jul. 2019)8 p.
Publisher
Publication Date
2019-07-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
The original Cockroach Swarm Optimization (CSO) algorithm suffers from the problems of slow or premature convergence.
This paper described a new cockroach-inspired algorithm, which is called CSO with Global And Local neighborhoods (CSOGL).
In CSOGL, two kinds of neighborhood models are designed, in order to increase the diversity of promising solution.
Based on above two neighborhood models, two kinds of novel chase-swarming behaviors are proposed and applied to CSOGL.
Moreover, this paper also provides a formal convergence proof for the CSOGL algorithm.
The comparison results show that the CSOGL algorithm outperform the existing cockroach-inspired algorithms.
American Psychological Association (APA)
Cheng, Lei& Song, Yanhong& Bian, Yuetang. 2019. Cockroach swarm optimization using : a neighborhood-based strategy. The International Arab Journal of Information Technology،Vol. 16, no. 4.
https://search.emarefa.net/detail/BIM-854852
Modern Language Association (MLA)
Cheng, Lei…[et al.]. Cockroach swarm optimization using : a neighborhood-based strategy. The International Arab Journal of Information Technology Vol. 16, no. 4 (Jul. 2019).
https://search.emarefa.net/detail/BIM-854852
American Medical Association (AMA)
Cheng, Lei& Song, Yanhong& Bian, Yuetang. Cockroach swarm optimization using : a neighborhood-based strategy. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 4.
https://search.emarefa.net/detail/BIM-854852
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-854852