Paper Info
Title
A Radio Frequency Identification Network Design Methodology For The Decision Problem In Mackay Memorial Hospital Based On Swarm Optimization
Abstract
Radio-frequency identification (RFID) is an automatic identification system which has become a hot topic in the fields of manufacturing, logistics, and so on. The purpose of this research is to propose a methodology for designing the RFID network planning problem (RNP) for application in the Mackay Memorial Hospital in Hsinchu, Taiwan. In this study, the RFID network is first considered as a grid and divided into several small squares. A soft computing methodology called FKB-SSO is proposed to solve the RNP problem based on simplified swarm optimization (SSO) by integrating k-means, fuzzy adaptive resonance theory (fuzzy-ART), and binary search. The proposed FKB-SSO will provide the basis for strategic decisions in constructing the RFID network to reduce the number of RFID readers with a minimal budget under the constraint of 100% coverage rate. The proposed FKB-SSO is more efficient than PSO and experts' manual solution in both run time and solution quality.
Year
DOI
Venue
2012
10.1109/CEC.2012.6256641
2012 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC)
Keywords
Field
DocType
component, Radio-frequency identification (RFID), network design, soft computing, simplified swarm optimization (SSO), fuzzy adaptive resonance theory (fuzzy-ART), k-means, binary search
Particle swarm optimization,Adaptive resonance theory,Decision problem,Mathematical optimization,Network planning and design,Computer science,Artificial intelligence,Binary search algorithm,Soft computing,Radio-frequency identification,Grid,Machine learning
Conference
Citations 
PageRank 
References 
1
0.37
5
Authors
5
Name
Order
Citations
PageRank
Wei-Chang Yeh1107178.35
Yuan-Ming Yeh281.24
Chun-Hua Chou330.75
Yuk Ying Chung421125.47
Xiangjian He5932132.03