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Lyuchao Liao

Personal Information

Professor  
Supervisor of Doctorate Candidates  

Main positions:Director of the Fujian Provincial University Engineering Research Center for Intelligent Driving Technology

Other Post:Director of the Fujian Provincial University Key Laboratory of Industrial Control and Data Analysis

Paper Publications

Improving the Searching Capacity of Evolved Bat Algorithm by the Periodic Signal

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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

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