混合人工蜂群算法在船舶通信网络优化中的应用

Application of hybrid artificial bee colony algorithm in ship communication network optimization

混合人工蜂群算法是一种基于仿生学的智能算法,该算法通过模拟蜂群中的分工行为进行局部寻优,能够实现优化问题的快速收敛。船舶无线通信网络由网络节点、网络链路、船舶终端等构成,通信网络的性能关系到船舶导航、AIS系统运行等。本文结合混合人工蜂群算法,进行船舶无线通信网络的覆盖率提升等优化研究,有助于改善当前船舶无线通信网络的性能。

Hybrid artificial bee colony algorithm is an intelligent algorithm based on bionics.The algorithm simulates the division of labor behavior in the bee colony for local optimization,which can achieve rapid convergence of optimization problems.Ship wireless communication network is composed of network nodes,network links,ship terminals,etc.The performance of the communication network is related to ship navigation,AIS system operation,etc.Based on this,this paper combined with the hybrid artificial colony algorithm,carried out optimization research on the coverage of ship wireless communication network,which is helpful to improve the performance of the current ship wireless communication network.