Abstract:Considering the low communication performance such as long time delay and imbalance problem of industrial switched Ethernet network

a multi-objective optimization method based on 0-1 mapping matrix and Non-dominated Sorting Genetic Algorithm-Ⅱwas proposed. In this method

a multi-objective optimization model was constructed by means of the special characteristics of 0-1 mapping matrix

multi-point asexual crossover and double mutation strategies were utilized to achieve population evolution

and then the corresponding discrete Pareto front of the switched Ethernet topology structure mapping matrix was obtained. Benchmark test and simulation results showed the communication load between sub networks was dramatically reduced

and the possibility of information congestion or idle power in local networks was decreased after the network structure optimization.