TY - GEN
T1 - Modified Monarch Butterfly Optimization Algorithm for RFID Network Planning
AU - Strumberger, Ivana
AU - Tuba, Eva
AU - Bacanin, Nebojsa
AU - Beko, Marko
AU - Tuba, Milan
N1 - info:eu-repo/grantAgreement/FCT/5876/135950/PT
M. Tuba is supported by the Ministry of Education, Science and Technological Development of Republic of Serbia, Grant No. III-44006.
M. Beko is partially supported by Fundacao para a Ciencia e a Tecnologia under Projects PEst-OE/EEI/UI0066/2014 (UNINOVA) and Program Investigador FCT (IF/00325/2015).
PY - 2018/11/6
Y1 - 2018/11/6
N2 - This paper presents an implementation of the modified monarch butterfly optimization algorithm for solving the RFID network planning problem. This problem is one of the most studied challenges in the RFID domain, and was not tackled with the monarch butterfly optimization metaheuristic before. RFID system consists of tags and readers, where readers access from certain distance the information that is stored in tags. By testing basic monarch butterfly algorithm, we noticed that the algorithm can be improved by enhancing exploitation in the late iterations. We tested our approach on the standard RFID model and data set, and conducted comparative analysis with other approaches. According to the performed experiments, we concluded that the modified monarch butterfly optimization can be successfully applied to the RFID network planning problem.
AB - This paper presents an implementation of the modified monarch butterfly optimization algorithm for solving the RFID network planning problem. This problem is one of the most studied challenges in the RFID domain, and was not tackled with the monarch butterfly optimization metaheuristic before. RFID system consists of tags and readers, where readers access from certain distance the information that is stored in tags. By testing basic monarch butterfly algorithm, we noticed that the algorithm can be improved by enhancing exploitation in the late iterations. We tested our approach on the standard RFID model and data set, and conducted comparative analysis with other approaches. According to the performed experiments, we concluded that the modified monarch butterfly optimization can be successfully applied to the RFID network planning problem.
KW - enhancement
KW - monarch butterfly opti-mization
KW - RFID planning problem
KW - swarm intelligence
UR - http://www.scopus.com/inward/record.url?scp=85063238223&partnerID=8YFLogxK
U2 - 10.1109/ICMCS.2018.8525930
DO - 10.1109/ICMCS.2018.8525930
M3 - Conference contribution
AN - SCOPUS:85063238223
T3 - International Conference on Multimedia Computing and Systems - Proceedings
BT - Proceedings of 2018 6th International Conference on Multimedia Computing and Systems, ICMCS 2018
A2 - El Hibaoui, Abdelaaziz
A2 - Zaz, Youssef
A2 - Essaaidi, Mohamed
PB - IEEE Computer Society
T2 - 6th International Conference on Multimedia Computing and Systems, ICMCS 2018
Y2 - 10 May 2018 through 12 May 2018
ER -