摘要
针对现有复杂系统并行优化结构优化难度大、开发效率低等问题,为了实现复杂系统参数优化结构的通用性和开发高效性,基于HLA分布式仿真框架,提出一种将仿真模型参数空间分区进行优化的通用并行优化结构,介绍并分析了仿真分区并行优化调度机制,并在此基础上进行系统实现。仿真分析比较表明,相较于现有并行仿真参数优化体系结构,文中的仿真结构具有更好的通用性和开发高效性。运用通用、分区并行的复杂系统参数优化结构,可以在保证参数优化高效的同时,降低系统开发的时间成本。
In allusion to the problem that the parallel optimization structure of existing complex system is difficult to optimize and has low development efficiency,a general parallel optimization architecture that the parameter space partition of the simulation model is optimized is proposed based on the HLA distributed simulation framework to achieve the universality and development efficiency of the parameter optimization structure of the complex system.The scheduling mechanism of the simulation partition parallel optimization is introduced and analyzed,on which the system implementation is performed.The simulation analysis and comparison show that,in comparison with the existing parallel simulation parameter optimization architecture,the simulation structure in this paper has better universality and development efficiency.The use of general and partition parallel parameter optimization structure of complex system can not only ensure the efficient parameter optimization,but also reduce the time cost of system development.
作者
杨晨
周帅
朱国华
YANG Chen;ZHOU Shuai;ZHU Guohua(Jianghan University,Wuhan 430056,China)
出处
《现代电子技术》
北大核心
2020年第22期136-139,共4页
Modern Electronics Technique
基金
湖北省自然科学基金指导项目(2019CFC887)。
关键词
参数分区
并行优化
仿真模型
复杂系统
参数优化
比较分析
parameter partition
parallel optimization
simulation model
complex system
parameter optimization
comparative analysis
