Integration of Genetic Algorithms and Binary Particle Swarm Optimization for RFID Networks Scheduling Problems
碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 97 === Multi RFID readers are implemented to the product line in many industries and they consist of varied reader resources. There are collisions occurring between readers, and that cause the faulty or missing reads in the network of RFID readers. This research at...
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| Format: | Others |
| Language: | en_US |
| Published: |
2009
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| Online Access: | http://ndltd.ncl.edu.tw/handle/3828e2 |
| Summary: | 碩士 === 國立臺北科技大學 === 工業工程與管理研究所 === 97 === Multi RFID readers are implemented to the product line in many industries and they consist of varied reader resources. There are collisions occurring between readers, and that cause the faulty or missing reads in the network of RFID readers. This research attempts to use integration of genetic algorithms and binary particle swarm optimization (GA-BPSO) to solve the problem and get the optimal scheduling result in the problem. GA-BPSO is combined with advantages of PSO and GA. We use GA-BPSO to solve three problems of the RFID reader network and we attempt to minimize the total transaction time. By the results of the three problems, we can conclude that GA-BPSO is an effective algorithm which can find optimal solutions in the problem of the RFID reader network.
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