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An Adaptive Bacterial Foraging Optimization Algorithm with Lifecycle and Social Learning
Joint Authors
Niu, Ben
Zhang, Hao
Yan, Xiaohui
Chen, Hanning
Zhu, Yunlong
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-20, 20 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-14
Country of Publication
Egypt
No. of Pages
20
Main Subjects
Abstract EN
Bacterial Foraging Algorithm (BFO) is a recently proposed swarm intelligence algorithm inspired by the foraging and chemotactic phenomenon of bacteria.
However, its optimization ability is not so good compared with other classic algorithms as it has several shortages.
This paper presents an improved BFO Algorithm.
In the new algorithm, a lifecycle model of bacteria is founded.
The bacteria could split, die, or migrate dynamically in the foraging processes, and population size varies as the algorithm runs.
Social learning is also introduced so that the bacteria will tumble towards better directions in the chemotactic steps.
Besides, adaptive step lengths are employed in chemotaxis.
The new algorithm is named BFOLS and it is tested on a set of benchmark functions with dimensions of 2 and 20.
Canonical BFO, PSO, and GA algorithms are employed for comparison.
Experiment results and statistic analysis show that the BFOLS algorithm offers significant improvements than original BFO algorithm.
Particulary with dimension of 20, it has the best performance among the four algorithms.
American Psychological Association (APA)
Yan, Xiaohui& Zhu, Yunlong& Zhang, Hao& Chen, Hanning& Niu, Ben. 2012. An Adaptive Bacterial Foraging Optimization Algorithm with Lifecycle and Social Learning. Discrete Dynamics in Nature and Society،Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-469886
Modern Language Association (MLA)
Yan, Xiaohui…[et al.]. An Adaptive Bacterial Foraging Optimization Algorithm with Lifecycle and Social Learning. Discrete Dynamics in Nature and Society No. 2012 (2012), pp.1-20.
https://search.emarefa.net/detail/BIM-469886
American Medical Association (AMA)
Yan, Xiaohui& Zhu, Yunlong& Zhang, Hao& Chen, Hanning& Niu, Ben. An Adaptive Bacterial Foraging Optimization Algorithm with Lifecycle and Social Learning. Discrete Dynamics in Nature and Society. 2012. Vol. 2012, no. 2012, pp.1-20.
https://search.emarefa.net/detail/BIM-469886
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469886