Yang, L. and Guo, C., 2019. Reliability modeling and analysis of large ship communication network based on genetic algorithm. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 917–922. Coconut Creek (Florida), ISSN 0749-0208.

The channel reliability modeling imbalance is easy to occur when the channel of large ship communication network is affected by inter-symbol interference. In order to improve the channel balance of large ship communication network, a channel reliability modeling and optimization algorithm based on genetic algorithm is proposed. The channel model of large ship communication network is constructed, and the interference suppression and multi-path compensation in the process of channel reliability modeling of large ship communication network are carried out by using decision feedback equalizer. According to the symbol number of channel impulse response characteristic distribution, the adaptive decision feedback modulation is carried out in the process of network channel reliability modeling, and the fractional interval equilibrium configuration of large ship communication network channel is carried out by using wireless spread spectrum method. Adaptive genetic algorithm is used to realize channel reliability modeling and equilibrium design, and evolutionary learning technology based on genetic algorithm is used to realize channel reliability modeling and optimization in large ship communication networks. The simulation results show that the proposed method has good balance in channel reliability modeling of large ship communication networks, and has strong ability to resist multi-path interference, which improves the communication quality of large ship communication networks and reduces the output bit error rate.