摘要
在信息化条件下,作战油料保障向多样化接力式调运保障模式演变,致使保障调运计划优化难度加大;为了解决这一问题,提出基于Agent的油料保障调运模型;应用Agent技术,在决策者Agent与保障单位Agent之间构建"多对多"交互场景,根据保障单位的运输能力、行驶路径等参数,对油料保障调运任务进行分派;论述深度优先搜索模型算法,分析油料保障调运计划生成过程;以联合作战油料保障调运为仿真实例,验证模型有效性;仿真结果表明:该模型的研究对于提高作战油料保障能力具有重要意义。
Under information, combat POL support was evolved into support mode of diverse relaying, so that the optimization of its scheduling transportation plan is more difficult. To solve this problem, agent based scheduling transportation model for POL support was proposed. "Many to many" interactive scene was constructed between policy-makers agent and security units agent via applying agent technology. POL scheduling task was assigned according to the parameters such as transport capacity and route of support units. The depth-first search algorithm was discussed and the generation process of this scheduling transportation plan was analyzed. Joint operations POL scheduling transportation was used as a simulation example to verify the validity of the model. Simulation results show that this research is of great significance for im- proving performance of combat POL support.
出处
《兵器装备工程学报》
CAS
2016年第3期49-53,共5页
Journal of Ordnance Equipment Engineering
基金
国防重大攻关项目(2014ZB00088)
重庆市重大科技项目(CQF20150709)
重庆市社科基金项目(2014YBGL009)
关键词
油料保障
调运
AGENT
任务
计划
POL support
scheduling transportation
Agent
task
plan