Improving the Searching Capacity of Evolved Bat Algorithm by the Periodic Signal
Date:2018-06-04 clicks:
Affiliation of Author(s):计算机科学与数学学院
Journal:Advances in Intelligent Systems and Computing
Funded by:其他课题
Key Words:Evolved Bat Algorithm, Swarm Intelligence, Periodic Signal, Optimization
Abstract:In this paper, the evolved bat algorithm is improved by replacing the fixed value, which is determined by the media, with the periodic signal. The familiar periodic signal exists in the natural environment is the sine/cosine signal. We take the co-sine signal in our design of improving the searching capacity of the evolved bat algorithm. Three test functions, of which the global optimum values are known, are used in the experiments. The experimental results indicate that our proposed strategy improves the searching accuracy of the evolved bat algorithm about 45.722% in average.
Note:20151203信息学院审核通过
Indexed by:Essay collection
Document Code:7701
Volume:387
Page Number:3-9
ISSN No.:2194-5357
Translation or Not:no
Date of Publication:2015-10-01