RFID networks planning using BF-PSO

摘要

RFID network planning (RNP) problem is a core challenge in the widespread application of RFID networks. In this paper, we develop a new mathematical model for planning RFID networks with multiple objectives, including carbon emissions, economic efficiency, load balance, interference between readers and coverage. Bacteria Foraging oriented by Particle Swarm Optimization (BF-PSO) is to solve optimize the proposed model. To demonstrate the effectiveness and efficiency of BF-PSO, the simulation results are compared with Bacteria Foraging Optimization (BFO), a real-coded Genetic Algorithm (RGA) and the Self-adaptive ES (SA-ES) on the RFID network planning problem. © 2012 Springer-Verlag.