关键词: 计算机技术, 射频识别, 协同进化, 读写器调度, 粒子群优化算法, 生态捕食模型, 种群多样性

Abstract:

In order to improve PSOs performance on complex engineering problems, it presents a variant of PSO（Particle Swarm Optimization)  called PSOPC (Particle Swarm Optimizer based on Predator-prey Coevolution), which takes into account the predatorprey behavior therefore high species diversity can be maintained as the whole population evolves. PSOPC is then applied to schedule RFID（Radio Frequency Identification） networks by assigning time slot to RFID readers online whereby reader collision can be minimized to ensure the current operation of the RFID system. Simulation results demonstrate that the PSOPC algorithm is more feasible and efficient than PSO in solving this realworld problem.

Key words: computer technology, radio frequency identification（RFID）, coevolution, reader progress, particle swarm optimization（PSO） algorithm, predator-prey model, species diversity