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Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing
Author
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-06-14
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
Recent advances in modern manufacturing industries have created a great need to track and identify objects and parts by obtaining real-time information.
One of the main technologies which has been utilized for this need is the Radio Frequency Identification (RFID) system.
As a result of adopting this technology to the manufacturing industry environment, RFID Network Planning (RNP) has become a challenge.
Mainly RNP deals with calculating the number and position of antennas which should be deployed in the RFID network to achieve full coverage of the tags that need to be read.
The ultimate goal of this paper is to present and evaluate a way of modelling and optimizing nonlinear RNP problems utilizing artificial intelligence (AI) techniques.
This effort has led the author to propose a novel AI algorithm, which has been named “hybrid AI optimization technique,” to perform optimization of RNP as a hard learning problem.
The proposed algorithm is composed of two different optimization algorithms: Redundant Antenna Elimination (RAE) and Ring Probabilistic Logic Neural Networks (RPLNN).
The proposed hybrid paradigm has been explored using a flexible manufacturing system (FMS), and results have been compared with Genetic Algorithm (GA) that demonstrates the feasibility of the proposed architecture successfully.
American Psychological Association (APA)
Azizi, Aydin. 2017. Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing. Complexity،Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1143580
Modern Language Association (MLA)
Azizi, Aydin. Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing. Complexity No. 2017 (2017), pp.1-18.
https://search.emarefa.net/detail/BIM-1143580
American Medical Association (AMA)
Azizi, Aydin. Introducing a Novel Hybrid Artificial Intelligence Algorithm to Optimize Network of Industrial Applications in Modern Manufacturing. Complexity. 2017. Vol. 2017, no. 2017, pp.1-18.
https://search.emarefa.net/detail/BIM-1143580
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143580