基于多目标差分进化算法的安防部署优化研究

Study on Security Deployment Optimization Based on Multi-objective Differential Evolution Algorithm

对安防站点部署进行了相关研究,提出了安防站部署的优化模型,并提出安防站部署的两个优化目标,接着采用多目标差分进化算法对其进行求解,并进行仿真实验。实验结果表明,差分进化算法有效地提高了安防站部署的两个优化目标,提高了部署质量。

This paper conducts relevant research on the deployment of security stations,proposes an optimization model for the deployment of security stations,and proposes two optimization objectives for the deployment of security stations,and then solves them using a multi-objective differential evolution algorithm,and performs simulation experiments.The experimental results show that The differential evolution algorithm effectively improves the two optimization goals of security station deployment and improves the quality of deployment.