Cover
Vol. 12 No. 2 (2017)

Published: January 31, 2017

Pages: 167-177

Original Article

Novel Optimization Algorithm Inspired by Camel Traveling Behavior

Mohammed Khalid Ibrahim 1 Ramzy Salim Ali 2
1Department of Electrical Engineering College of Engineering, University of Babylon, Iraq
2Department of Electrical Engineering College of Engineering, University of Basrah, Iraq
History
  • Received: November 30, 2016
  • Available Online: January 31, 2017
DOI

https://doi.org/10.37917/ijeee.12.2.7

Abstract

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.

Keywords

References

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