DocumentCode
3773902
Title
Sawtooth Wave Improved Evolved Bat Algorithm
Author
Pei-Wei Tsai;Jing Zhang;Yuan Liu;Yao He;Jeng-Shyang Pan;Ronghua Yang
Author_Institution
Coll. of Inf. Sci. &
fYear
2015
Firstpage
60
Lastpage
63
Abstract
A strategy for improving the searching ability of the Evolved Bat Algorithm is proposed in this paper. Our proposed strategy utilizes a time dependent triangular signal to replace a fix parameter designed in the conventional Evolved Bat Algorithm to gain higher impact on the searching diversity. To test whether our proposed strategy provides positive contribution to the searching results, three test functions with known global optimum values are used in the experiments. The experimental results indicate that our proposed strategy improves the searching accuracy of the evolved bat algorithm about 44.161% in average.
Keywords
"Particle swarm optimization","Optimization"
Publisher
ieee
Conference_Titel
Computational Intelligence Theory, Systems and Applications (CCITSA), 2015 First International Conference on
Type
conf
DOI
10.1109/CCITSA.2015.21
Filename
7473087
Link To Document