Self adaptive cuckoo search algorithm for RFID network planning
作者： Atef Jaballah , Aref Meddeb
DOI: 10.1109/ITECHA.2017.8101922
关键词:
摘要: The Radio Frequency Identification (RFID) network planning problem is a critical issue because it strongly has an impact on Quality of Service (QoS) and cost efficiency. However, finding optimal for large scale RFID NP-hard optimization problem. In this context, metaheuristics provides natural framework to solve by near solution in reasonable time. paper, new variant the cuckoo search algorithm, called Self Adaptive Cuckoo Search (SACS) presented, where control parameters are dynamically adjusted according evolution processes. SACS algorithm used real instances. experimental results show that proposed obtains better solutions than all other adaptive variants terms robustness.
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