摘要
作战任务和平台资源的合理匹配是战役作战准备阶段的主要内容。考虑平台资源能力在作战过程中的损耗,在问题建模的过程中引入了资源能力的损耗系数,使得所建模型更加符合实际作战。提出了基于动态列表调度(dynamic list scheduling,DLS)和遗传算法(genetic algorithm,GA)的模型求解方法,使用DLS选择处理的任务,使用GA为选定任务分配平台资源,给出了该方法具体的设计思路和流程。最后结合联合作战的战役算例,验证了所提方法的优越性和适用性。
The match between operation tasks and platform resources is the main content in the preparation phase of battle.In order to consider the loss of the platform capacity in the process of combat,the loss coefficient is introduced in the process of problem modeling,and the problem model can be more conformable with actual combat.An approach to the problem model based on the dynamic list scheduling（DLS） and genetic algorithm（GA） is proposed.DLS is used to select the task and the GA is used to select the platform for the selected task,then the design flow of this approach is presented.Finally,the superiority and applicability of this approach are illuminated by the cases of joint campaign.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2012年第5期947-954,共8页
Systems Engineering and Electronics
基金
空军工程大学电讯工程学院博士创新基金(200907)
空军工程大学创新专项(Dx201006)资助课题
关键词
运筹学
任务-平台匹配
损耗系数
动态列表调度
遗传算法
operations research
match between task and platform
loss coefficient
dynamic list scheduling（DLS）
genetic algorithm（GA）
