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基于遗传算法的工业以太网环型拓扑优化
Optimization of the ring topology of industrial Ethernet based on genetic algorithm
【摘要】 为了改善交换式工业以太网的网络性能,给出了其采用环形拓扑时的设计原则,并把它们等价为一个带约束条件的网络优化问题.然后通过设计遗传算法来寻找该优化问题的解,为避免遗传算法的早熟收敛,在进化过程中采用了基于混沌迁移的伪并行进化方案.最后针对一个仿真例子,对比了基于遗传算法进行拓扑优化前后的网络性能,仿真结果验证了该优化方法的有效性.
【Abstract】 To improve the network performance of switched industrial Ethernet, the design principles are given when a ring topology is used. The design principles are equivalent to a network optimization problem with constraints. Then, a genetic algorithm is designed to search solution for this optimization problem, and the chaotic migration-based pseudo-parallel evolution strategy is employed to prevent the premature of genetic algorithm. Finally, a simulation is carried out to compare the network performance before and after topology optimization, and the simulation result validates the effectiveness of the proposed optimization method.
【Key words】 industrial Ethernet; switches; network design; topology optimization; genetic algorithm;
- 【文献出处】 控制理论与应用 ,Control Theory & Applications , 编辑部邮箱 ,2006年04期
- 【分类号】TP393.11
- 【被引频次】8
- 【下载频次】202