Considering the communication characteristics of switched industrial Ethernet, genetic algorithms are used to find near-optimal solution for its network partition problem.
针对交换式工业以太网的数据通信特点，采用遗传算法来寻找其网络划分问题的次优解。
The result shows that it does not demand to presuppose the initial parameters near optimal solution and it is more efficiency than the conventional optimization method.
结果表明，该方法不要求预先假定接近最优解的初始参数值，且比传统优化方法有效。
The simulation and experimental results show that the proposed method can locate the optimal or near optimal parameter space, achieve a better solution space than the GA method.
仿真和实验结果表明，该方法能搜寻到最优或次最优的参数空间，并能取得比GA更好的空间解。
The simulation and experimental results show that the proposed method can locate the optimal or near optimal parameter space, achieve a better solution space than the GA method.
仿真和实验结果表明，该方法能搜寻到最优或次最优的参数空间，并能取得比GA更好的空间解。
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