针对巡飞弹群协同执行侦察、打击和评估的任务分配问题,考虑任务时序约束、目标属性异构特征以及支持多弹共同执行一个任务的需求,提出一种基于联合投标的一致性包拍卖算法(Joint-bidding-based Consensus Based Bundle Algorithm,JCBB...针对巡飞弹群协同执行侦察、打击和评估的任务分配问题,考虑任务时序约束、目标属性异构特征以及支持多弹共同执行一个任务的需求,提出一种基于联合投标的一致性包拍卖算法(Joint-bidding-based Consensus Based Bundle Algorithm,JCBBA),以实现异构任务分配。在构建弹群协同“察打评”任务分配问题的组合优化模型的基础上,基于CBBA架构,定制任务包构建机制、个体竞标策略和考虑联合投标的边际收益计算方法,实现无中心通信条件下时序任务协同分配的快速鲁棒求解。多场景仿真试验结果表明,JCBBA可以在满足多种约束的前提下实现时序约束任务的合理分配,性能对比试验结果表明JCBBA能够更好地权衡协同任务分配的求解时效性和结果最优性,求解耗时相比一致性联盟算法减少约40%。展开更多
An extension of 2-D assignment approach is proposed for measurement-to-target association for improving multiple targets vector miss distance measurement accuracy. When the multiple targets move so closely, the measur...An extension of 2-D assignment approach is proposed for measurement-to-target association for improving multiple targets vector miss distance measurement accuracy. When the multiple targets move so closely, the measurements can not be fully resolved due to finite resolution. The proposed method adopts an auction algorithm to compute the feasible measurement-to-target assignment with unresolved measurements for solving this 2-D assignment problem. Computer simulation results demonstrate the effectiveness and feasibility of this method.展开更多
文摘针对巡飞弹群协同执行侦察、打击和评估的任务分配问题,考虑任务时序约束、目标属性异构特征以及支持多弹共同执行一个任务的需求,提出一种基于联合投标的一致性包拍卖算法(Joint-bidding-based Consensus Based Bundle Algorithm,JCBBA),以实现异构任务分配。在构建弹群协同“察打评”任务分配问题的组合优化模型的基础上,基于CBBA架构,定制任务包构建机制、个体竞标策略和考虑联合投标的边际收益计算方法,实现无中心通信条件下时序任务协同分配的快速鲁棒求解。多场景仿真试验结果表明,JCBBA可以在满足多种约束的前提下实现时序约束任务的合理分配,性能对比试验结果表明JCBBA能够更好地权衡协同任务分配的求解时效性和结果最优性,求解耗时相比一致性联盟算法减少约40%。
文摘An extension of 2-D assignment approach is proposed for measurement-to-target association for improving multiple targets vector miss distance measurement accuracy. When the multiple targets move so closely, the measurements can not be fully resolved due to finite resolution. The proposed method adopts an auction algorithm to compute the feasible measurement-to-target assignment with unresolved measurements for solving this 2-D assignment problem. Computer simulation results demonstrate the effectiveness and feasibility of this method.
