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The Scientific World Journal
Volume 2014 (2014), Article ID 237102, 11 pages
http://dx.doi.org/10.1155/2014/237102
Research Article

Cloud Model Bat Algorithm

College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, China

Received 18 March 2014; Accepted 22 April 2014; Published 19 May 2014

Academic Editor: Xin-She Yang

Copyright © 2014 Yongquan Zhou et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Bat algorithm (BA) is a novel stochastic global optimization algorithm. Cloud model is an effective tool in transforming between qualitative concepts and their quantitative representation. Based on the bat echolocation mechanism and excellent characteristics of cloud model on uncertainty knowledge representation, a new cloud model bat algorithm (CBA) is proposed. This paper focuses on remodeling echolocation model based on living and preying characteristics of bats, utilizing the transformation theory of cloud model to depict the qualitative concept: “bats approach their prey.” Furthermore, Lévy flight mode and population information communication mechanism of bats are introduced to balance the advantage between exploration and exploitation. The simulation results show that the cloud model bat algorithm has good performance on functions optimization.