基于遗传粒子群的微机远动网络优化研究

Research on Microcomputer Telecontrol Network Optimization Based on Genetic Particle Swarm Algorithm

针对QoS多目标优化问题,提出一种新的混合算法,即将遗传算法和粒子群算法结合在一起,并将其应用于解决电气化铁道技术中微机远程监控系统中通讯拥塞问题,该算法在路由器数学模型的基础上满足带宽、延迟、花费等要求,以资源消耗和负载均衡分布为目标,使得资源消耗最小同时负载均衡分布,从而降低网路拥塞的发生。仿真证明该算法具有一定的优越性。

According to the multiple constrains QoS routing optimization problem, a QoS routing model is built, it combines genetic algorithm and swarm particle algorithm, and applies to solve the problem of electrical railway technical communication jam in microcomputer for distance monitor system. This algorithm is on the basis of routing mathematical model to meet the requirement of bandwith, delay and cost. It causes resourse comsuption minimum and load equlibrium distribution uniform so as to decrease the occurrence of network jam. Simulation proves that the new algorithm not only overcomes the premature phenomenon of genetic algorithm, but also has great important in terms of speed of convergence.