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针对传感器网络节点优化的问题,提出一种混合人工鱼群算法.该算法在人工鱼群算法优化的末段引入模式搜索法,以人工鱼搜索到的最优解作为模式搜索法的初始解,利用模式搜索法的单调搜索特性,将解引向全局极值.新算法保留了人工鱼群算法全局搜索能力强、寻优速度快的特点,使寻优精度得到了提高.仿真实验表明:混合人工鱼群算法能够有效地优化传感器网络节点部署,提高覆盖率.
Aiming at the problem of node optimization in sensor network, a hybrid artificial fish swarm algorithm is proposed, which introduces a pattern search method in the last step of artificial fish swarm algorithm optimization. The optimal solution searched by artificial fish is taken as the initial solution of the pattern search method. By using the monotonous search of the pattern search method, the solution leads to the global extremum.The new algorithm preserves the global searching ability of the artificial fish swarm algorithm and its optimization speed is fast, and the optimization accuracy is improved.The simulation results show that the hybrid Artificial fish swarm algorithm can effectively optimize the sensor network node deployment and improve coverage.