Dynamic grouping of heterogeneous agents for exploration and strike missions  

作　　者：Chen CHEN Xiaochen WU Jie CHEN Panos M.PARDALOS Shuxin DING 

机构地区：[1]School of Automation,Beijing Institute of Technology,Beijing,100081,China [2]Department of Control Science and Engineering,Tongji University,Shanghai,200092,China [3]Center for Applied Optimization,Department of Industrial and Systems Engineering,University of Florida,Gainesville,FL,32611,USA [4]Signal and Communication Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing,100081,China

出　　处：《Frontiers of Information Technology & Electronic Engineering》2022年第1期86-100,共15页信息与电子工程前沿（英文版）

基　　金：Project supported by the National Natural Science Foundation of China(No.61773066);the Foundation of China Academy of Railway Sciences Corporation Limited(No.2019YJ071)。

摘　　要：The ever-changing environment and complex combat missions create new demands for the formation of mission groups of unmanned combat agents.This study aims to address the problem of dynamic construction of mission groups under new requirements.Agents are heterogeneous,and a group formation method must dynamically form new groups in circumstances where missions are constantly being explored.In our method,a group formation strategy that combines heuristic rules and response threshold models is proposed to dynamically adjust the members of the mission group and adapt to the needs of new missions.The degree of matching between the mission requirements and the group’s capabilities,and the communication cost of group formation are used as indicators to evaluate the quality of the group.The response threshold method and the ant colony algorithm are selected as the comparison algorithms in the simulations.The results show that the grouping scheme obtained by the proposed method is superior to those of the comparison methods.

关 键 词：MULTI-AGENT Dynamic missions Group formation Heuristic rule Networking overhead 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]