RFID networks planning using a multi-swarm optimizer

In this paper, we develop an optimization model for planning the positions of readers in the RFID network based on a novel multi-swarm particle swarm optimizer called PS²O. The main idea of PS²O is to extend the single population PSO to the interacting multi-swarms model by constructing hierarchical interaction topology and enhanced dynamical update equations. This algorithm, which is conceptually simple and easy to implement, has considerable potential for solving complex optimization problems. Simulation results show that the proposed PS²O algorithm proves to be superior for planning RFID networks than the standard PSO and other two evolutionary algorithms, namely genetic algorithm (GA) and evolution strategy (ES), in terms of optimization accuracy and computation robustness.