An adaptive bat algorithm

Authors:
Xiaowei Wang;Wen Wang;Yong Wang
Affiliations:
College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi, China;College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi, China;College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi, China
Venue:
ICIC'13 Proceedings of the 9th international conference on Intelligent Computing Theories and Technology
Year:
2013

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Abstract

After analyzing the deficiencies of bat algorithm (BA), we proposed an improved bat algorithm called an adaptive bat algorithm(ABA). In the ABA, each bat can dynamic and adaptively adjust its flight speed and its flight direction while it is searching for food, and makes use of the hunting approach of combining random search with shrinking search. The experimental results show that the ABA not only has marked advantage of global convergence property but also can effectively avoid the premature convergence problem.