title: Cloud model bat algorithm.
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.
authors: College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, China.
authors: Yongquan
authors: Y
authors: Zhou
authors: College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, China.
authors: Jian
authors: J
authors: Xie
authors: College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, China.
authors: Liangliang
authors: L
authors: Li
authors: College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, China.
authors: Mingzhi
authors: M
authors: Ma
mesh_terms: D000465:Algorithms; D000818:Animals; D001522:Behavior, Animal; D002685:Chiroptera; D008962:Models, Theoretical