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Frontiers of Information Technology & Electronic Engineering >> 2022, Volume 23, Issue 1 doi: 10.1631/FITEE.2000352

Dynamic grouping of heterogeneous agents for exploration and strike missions

Affiliation(s): School of Automation, Beijing Institute of Technology, Beijing 100081, China; Department of Control Science and Engineering, Tongji University, Shanghai 200092, China; Center for Applied Optimization, Department of Industrial and Systems Engineering, University of Florida, Gainesville, FL 32611, USA; Signal and Communication Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China; less

Received: 2020-07-17 Accepted: 2022-01-24 Available online: 2022-01-24

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Abstract

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 method must dynamically form new groups in circumstances where missions are constantly being explored. In our method, a strategy that combines s 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 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.

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