Inversion for Refractivity Parameters Using a Dynamic Adaptive Cuckoo Search with Crossover Operator Algorithm
Joint Authors
Sheng, Zheng
Zhang, Zhihua
Shi, Hanqing
Fan, Zhiqiang
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-04-26
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Using the RFC technique to estimate refractivity parameters is a complex nonlinear optimization problem.
In this paper, an improved cuckoo search (CS) algorithm is proposed to deal with this problem.
To enhance the performance of the CS algorithm, a parameter dynamic adaptive operation and crossover operation were integrated into the standard CS (DACS-CO).
Rechenberg’s 1/5 criteria combined with learning factor were used to control the parameter dynamic adaptive adjusting process.
The crossover operation of genetic algorithm was utilized to guarantee the population diversity.
The new hybrid algorithm has better local search ability and contributes to superior performance.
To verify the ability of the DACS-CO algorithm to estimate atmospheric refractivity parameters, the simulation data and real radar clutter data are both implemented.
The numerical experiments demonstrate that the DACS-CO algorithm can provide an effective method for near-real-time estimation of the atmospheric refractivity profile from radar clutter.
American Psychological Association (APA)
Zhang, Zhihua& Sheng, Zheng& Shi, Hanqing& Fan, Zhiqiang. 2016. Inversion for Refractivity Parameters Using a Dynamic Adaptive Cuckoo Search with Crossover Operator Algorithm. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099642
Modern Language Association (MLA)
Zhang, Zhihua…[et al.]. Inversion for Refractivity Parameters Using a Dynamic Adaptive Cuckoo Search with Crossover Operator Algorithm. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1099642
American Medical Association (AMA)
Zhang, Zhihua& Sheng, Zheng& Shi, Hanqing& Fan, Zhiqiang. Inversion for Refractivity Parameters Using a Dynamic Adaptive Cuckoo Search with Crossover Operator Algorithm. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-10.
https://search.emarefa.net/detail/BIM-1099642
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099642