基于和声搜索优化算法的目标跟踪系统的研究与实现  

Research and implementation of target tracking system based on harmony search optimization algorithm

作　　者：李和香[1] Li Hexiang(Information Engineering Institute,Guangzhou Institute of Technology,Guangzhou 510000,China)

机构地区：[1]广州工程技术职业学院信息工程学院,广州510000

出　　处：《现代计算机》2023年第19期88-92,共5页Modern Computer

基　　金：2021年广东省教育科学规划项目(2021KTSCX267)。

摘　　要：和声搜索算法是一种启发式的全局搜索算法,基于和声搜索优化算法进行目标自动跟踪系统的研究,在使用过程中资源优化配置、自动跟踪系统等优化问题都得到了成功的应用。经过对比实验的验证,在目标自动跟踪问题上展示了比遗传算法和模拟退火算法等更好的性能。由于运用了改进的和声搜索算法,能够精确地跟踪目标,具有相对较低的计算量,跟踪系统对目标环境的变化也具有很强的鲁棒性,跟踪性能比其他较新的目标跟踪方案更优,具有一定的研究和使用价值。Harmony search algorithm is a heuristic global search algorithm that has emerged in recent years and has been suc-cessfully applied in many optimization problems such as automatic tracking and resource optimization configuration.It shows better performance than genetic algorithm,Tabu search and simulated annealing algorithm on some related problems.We conduct re-search on automatic target tracking systems based on harmony search algorithm optimization,which can accurately track targets.The system has a certain degree of robustness to changes in the target environment,and has relatively low computational complex-ity.The tracking performance is significantly better than other newer target tracking schemes,and has certain research value.

关 键 词：和声搜索 目标自动跟踪 重采样粒子滤波 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]