基于服务的异质作战实体协同优化研究

Service based collaboration optimized research for heterogeneity combat entity

针对作战仿真中异质作战实体协同分配模型存在的信息交互及协同效能低的问题,建立了一种基于服务的作战实体协同分配模型。通过服务调用机制解决异质作战实体任务分配时的信息交互和共享,以基于能力向量的效用函数为适应度函数,应用遗传算法优化初始任务分配方案;以航空协同反潜为背景进行了仿真实例验证,仿真结果表明,优化后的任务分配模型在基本相近的时间内,能有效提高任务分配方案的效能,使得分配方案更逼近全局最优。

Aiming at the information exchange and collaborative performance problems exist in heterogeneous combat entities collabora- tion, the combat entity co-allocation model is established based on the service, which solves the heterogeneity combat entity task alloca- tion information exchanging and sharing through the service invocation mechanism, Then, the genetic algorithm is applied to optimize the initial task allocation scheme which uses the utility fitness function based on the ability vector. Finally, by the background of aviation an- ti-submarine simulation, the result of the example shows the optimized task allocation model at basically similar time, can effectively im- prove the performance of the task allocation scheme, make the allocation scheme more close to the global optimum.