Novel optimization algorithm inspired by camel traveling behavior
Joint Authors
Ali, Ramzi Salim
Ibrahim, Muhammad Khalid
Source
The Iraqi Journal of Electrical and Electronic Engineering
Issue
Vol. 12, Issue 2 (31 Dec. 2016), pp.167-177, 11 p.
Publisher
University of Basrah College of Engineering
Publication Date
2016-12-31
Country of Publication
Iraq
No. of Pages
11
Main Subjects
Abstract EN
This article presents a novel optimization algorithm inspired by camel traveling behavior that called Camel algorithm (CA).
Camel is one of the extraordinary animals with many distinguish characters that allow it to withstand the severer desert environment.
The Camel algorithm used to find the optimal solution for several different benchmark test functions.
The results of CA and the results of GA and PSO algorithms are experimentally compared.
The results indicate that the promising search ability of camel algorithm is useful, produce good results and outperform the others for different test functions.
American Psychological Association (APA)
Ibrahim, Muhammad Khalid& Ali, Ramzi Salim. 2016. Novel optimization algorithm inspired by camel traveling behavior. The Iraqi Journal of Electrical and Electronic Engineering،Vol. 12, no. 2, pp.167-177.
https://search.emarefa.net/detail/BIM-760909
Modern Language Association (MLA)
Ibrahim, Muhammad Khalid& Ali, Ramzi Salim. Novel optimization algorithm inspired by camel traveling behavior. The Iraqi Journal of Electrical and Electronic Engineering Vol. 12, no. 2 (2016), pp.167-177.
https://search.emarefa.net/detail/BIM-760909
American Medical Association (AMA)
Ibrahim, Muhammad Khalid& Ali, Ramzi Salim. Novel optimization algorithm inspired by camel traveling behavior. The Iraqi Journal of Electrical and Electronic Engineering. 2016. Vol. 12, no. 2, pp.167-177.
https://search.emarefa.net/detail/BIM-760909
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 176-177
Record ID
BIM-760909