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An improved micro artificial immune algorithm utilizing employed honey bees for the identification of nonlinear system
Author
Source
Iraqi Journal of Computer, Communications and Control Engineering
Issue
Vol. 16, Issue 1 (30 Apr. 2016), pp.69-83, 15 p.
Publisher
Publication Date
2016-04-30
Country of Publication
Iraq
No. of Pages
15
Main Subjects
Engineering & Technology Sciences (Multidisciplinary)
Abstract EN
This paper presents an improved micro artificial immune (IMAI) algorithm utilizing basic concepts from swarm intelligence.
In particular, to enhance the searching capability of the recently developed micro artificial immune system (Micro-AIS) algorithm, employed honey bees are recruited to provide high-quality antibodies for the working population of the IMAI algorithm.
The proposed algorithm is used to find the optimal kernel values for the Volterra series model to identify nonlinear systems.
To demonstrate the efficiency of the proposed method, three different types of nonlinear systems are considered, including a highly nonlinear rational system, a heat exchanger, and a continuous stirred tank reactor (CSTR).
For all these systems, the IMAI algorithm has achieved accurate modelling results and fast convergence rates.
Moreover, a comparative study was conducted with other optimization methods, namely the original Micro-AIS algorithm, the improved particle swarm optimization (IPSO), the real-coded genetic algorithm (GA), the least mean squares (LMS), the least mean p-norm (LMP), and the least mean absolute deviation (LMAD).
From this comparative study, the proposed IMAI algorithm has achieved the best modelling performance compared to the other methods.
American Psychological Association (APA)
Lutfi, Umar Faruq. 2016. An improved micro artificial immune algorithm utilizing employed honey bees for the identification of nonlinear system. Iraqi Journal of Computer, Communications and Control Engineering،Vol. 16, no. 1, pp.69-83.
https://search.emarefa.net/detail/BIM-689496
Modern Language Association (MLA)
Lutfi, Umar Faruq. An improved micro artificial immune algorithm utilizing employed honey bees for the identification of nonlinear system. Iraqi Journal of Computer, Communications and Control Engineering Vol. 16, no. 1 (2016), pp.69-83.
https://search.emarefa.net/detail/BIM-689496
American Medical Association (AMA)
Lutfi, Umar Faruq. An improved micro artificial immune algorithm utilizing employed honey bees for the identification of nonlinear system. Iraqi Journal of Computer, Communications and Control Engineering. 2016. Vol. 16, no. 1, pp.69-83.
https://search.emarefa.net/detail/BIM-689496
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 82-83
Record ID
BIM-689496