Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization
Joint Authors
Hu, Kunyuan
Chen, Hanning
Ma, Lianbo
Zhu, Yunlong
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-23
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
This paper presents a novel optimization algorithm, namely, hierarchical artificial bee colony optimization, called HABC, to tackle the radio frequency identification network planning (RNP) problem.
In the proposed multilevel model, the higher-level species can be aggregated by the subpopulations from lower level.
In the bottom level, each subpopulation employing the canonical ABC method searches the part-dimensional optimum in parallel, which can be constructed into a complete solution for the upper level.
At the same time, the comprehensive learning method with crossover and mutation operators is applied to enhance the global search ability between species.
Experiments are conducted on a set of 10 benchmark optimization problems.
The results demonstrate that the proposed HABC obtains remarkable performance on most chosen benchmark functions when compared to several successful swarm intelligence and evolutionary algorithms.
Then HABC is used for solving the real-world RNP problem on two instances with different scales.
Simulation results show that the proposed algorithm is superior for solving RNP, in terms of optimization accuracy and computation robustness.
American Psychological Association (APA)
Ma, Lianbo& Chen, Hanning& Hu, Kunyuan& Zhu, Yunlong. 2014. Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-21.
https://search.emarefa.net/detail/BIM-1051683
Modern Language Association (MLA)
Ma, Lianbo…[et al.]. Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization. The Scientific World Journal No. 2014 (2014), pp.1-21.
https://search.emarefa.net/detail/BIM-1051683
American Medical Association (AMA)
Ma, Lianbo& Chen, Hanning& Hu, Kunyuan& Zhu, Yunlong. Hierarchical Artificial Bee Colony Algorithm for RFID Network Planning Optimization. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-21.
https://search.emarefa.net/detail/BIM-1051683
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051683