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 :
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