中文摘要：

针对有人/无人机任务联盟形成问题,采取任务聚类-平台匹配的分阶段形成策略。首先,给出问题要素定义,并进行相关数学描述。其次,基于对问题的分析,以最小化任务距离和为优化目标建立任务聚类的数学模型;以最小化指挥决策能力代价和资源能力代价为优化目标建立平台匹配的数学模型。然后,对任务聚类问题和平台匹配问题,分别采用优选初始簇中心的贪心聚类算法和多目标模糊人工蜂群算法进行求解;最后,通过仿真案例下的3组实验,验证了提出方法的有效性和优越性。

英文摘要：

Aiming at the formation problem of manned/unmanned aerial vehicle task coalition,aphasedforming method is proposed including task clustering and platform matching.Firstly,definition of major elements is given and relevant mathematical description is made.Secondly,based on the analysis of the problem,the mathematical model of task clustering is established by taking the minimum sum of distance as the optimal objective,and then the mathematical model of platform matching is established by taking minimum command and decision-making cost as well as resource cost as the optimal objective.Thirdly,a novel greedy clustering algorithm with optimized initial cluster centers and a novel multi-objective fuzzy artificial bee colony algorithm are adopted respectively to solve task clustering and platform matching.Finally,three sets of simulation experiments are carried out to prove the effectiveness and superiority of the method.