@inproceedings{ebf8df0a07924b3f96e34e623793f411,
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.",
keywords = "Radio-frequency identification (RFID), binary search, fuzzy adaptive resonance theory (fuzzy-ART), k-means, network design, simplified swarm optimization (SSO), soft computing",
author = "Yeh, {Wei Chang} and Yeh, {Yuan Ming} and Chou, {Chun Hua} and Chung, {Y. Y.} and Xiangjian He",
year = "2012",
doi = "10.1109/CEC.2012.6256641",
language = "English",
isbn = "9781467315098",
series = "2012 IEEE Congress on Evolutionary Computation, CEC 2012",
booktitle = "2012 IEEE Congress on Evolutionary Computation, CEC 2012",
note = "2012 IEEE Congress on Evolutionary Computation, CEC 2012 ; Conference date: 10-06-2012 Through 15-06-2012",
}