Cloud Model Bat Algorithm

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 r...

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Main Authors: Yongquan Zhou, Jian Xie, Liangliang Li, Mingzhi Ma
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/237102
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author Yongquan Zhou
Jian Xie
Liangliang Li
Mingzhi Ma
author_facet Yongquan Zhou
Jian Xie
Liangliang Li
Mingzhi Ma
author_sort Yongquan Zhou
collection DOAJ
description 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.
format Article
id doaj-art-a56253f54a77456ca8cf9e2133fd093c
institution Kabale University
issn 2356-6140
1537-744X
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-a56253f54a77456ca8cf9e2133fd093c2025-02-03T01:12:33ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/237102237102Cloud Model Bat AlgorithmYongquan Zhou0Jian Xie1Liangliang Li2Mingzhi Ma3College of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, ChinaCollege of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, ChinaCollege of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, ChinaCollege of Information Science and Engineering, Guangxi University for Nationalities, Nanning, Guangxi 530006, ChinaBat 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.http://dx.doi.org/10.1155/2014/237102
spellingShingle Yongquan Zhou
Jian Xie
Liangliang Li
Mingzhi Ma
Cloud Model Bat Algorithm
The Scientific World Journal
title Cloud Model Bat Algorithm
title_full Cloud Model Bat Algorithm
title_fullStr Cloud Model Bat Algorithm
title_full_unstemmed Cloud Model Bat Algorithm
title_short Cloud Model Bat Algorithm
title_sort cloud model bat algorithm
url http://dx.doi.org/10.1155/2014/237102
work_keys_str_mv AT yongquanzhou cloudmodelbatalgorithm
AT jianxie cloudmodelbatalgorithm
AT liangliangli cloudmodelbatalgorithm
AT mingzhima cloudmodelbatalgorithm