摘要
提出了一种基于遗传算法的多任务优化调度方法,并根据共享内存多处理器的实际情况分析和讨论了多任务间的约束条件,最后以水下航行器制导系统仿真为例,对多任务调度方法进行了验证,结果表明该方法能有效地提高多任务调度系统的时间跨度。
In this paper,the approach based on genetic algorithm for multi-task scheduling is presented to obtain the op- timizing schedule.The sequence constraints among tasks are analyzed and discussed in order to meet the actual require- ments for multi-task real-time simulation of underwater vehicle guidance system on a shared memory muhi-professor computer system.The simulation result shows that the genetic algorithm approach is cfficient in getting better time span.
出处
《弹箭与制导学报》
CSCD
北大核心
2005年第S5期570-573,共4页
Journal of Projectiles,Rockets,Missiles and Guidance
基金
国防科技重点实验室资助.(51448060105HK0361)
关键词
遗传算法
多任务
调度
实时系统
水下航行器
genetic algorithm
multi-task
scheduling
real-time system
underwater vehicle
