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.
RFID networks planning problem PSO GA ES PS2O
Hanning Chen Yunlong Zhu Kunyuan Hu
Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3548-3552
2009-06-17（万方平台首次上网日期，不代表论文的发表时间）