节点文献
基于遗传模拟退火算法的机动多目标数据关联问题研究
The Research on Maneuvering Multiple Targets Data Association Problem with Genetic Simulated Annealing Algorithms
【摘要】 应用遗传模拟退火算法将机动多目标的数据关联问题表达为一类约束的组合优化问题研究时 ,可极大地提高密集多回波环境下系统跟踪多机动目标的精度和可靠性 .仿真结果表明 ,遗传模拟退火算法明显地优于独立地使用遗传算法和模拟退火算法 .
【Abstract】 When it is represented as a sort of constraint combinational optimization problem , the data association problem of maneuvering multiple targets can be studied by genetic-simulated annealing algorithms which can greatly improve the tracking multi-maneuvering targets precision & reliability of the system in higher dense multi-return environment. The simulation results indicates that genetic-simulated annealing algorithm is obviously superior to genetic algorithm and simulated annealing algorithm used separately.
【基金】 南京 72 4研究所装备研究中心资助
- 【文献出处】 系统工程理论与实践 ,Systems Engineering-theory & Practice , 编辑部邮箱 ,2001年09期
- 【分类号】TN953
- 【被引频次】28
- 【下载频次】289