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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Format: | Article |
Language: | English |
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Wiley
2014-01-01
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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 |