Swarm Intelligence and Cooperative Control

Design of hybrid intelligent decision framework for multi⁃agent and multi⁃coupling tasks

  • Xuejian WANG ,
  • Yongming WEN ,
  • Xiaorong SHI ,
  • Ningning ZHANG ,
  • Jiexi LIU
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  • Beijing Institute of Control & Electronics Technology,Beijing 100038,China
E-mail: mely0110@sina.com

Received date: 2023-10-26

  Revised date: 2023-11-21

  Accepted date: 2023-12-20

  Online published: 2024-01-04

Abstract

To address the coupling problem and decision-making problem of multiple tasks such as task allocation and path planning of multi-agents in complex application scenarios, a design method of hybrid intelligent decision-making framework for multi-agent and multi-coupling tasks is proposed. Firstly, the advantages of single agent multi-task hybrid framework and multi-agent distributed collaborative control, a hybrid intelligent decision-making framework for multi-agent and multi-coupling tasks is designed. Secondly, the strategy network of the framework and the training controller for the strategy network are designed and a coupling relationship matrix based on coupling relationships is proposed to achieve efficient training of multi-agents and multi-tasks in face of collaborative decision-making problems. Finally, this paper modeled, trained algorithm and simulated in simulation environment,and compared with the tradition method to verifies the effectiveness and advantages of the proposed method.

Cite this article

Xuejian WANG , Yongming WEN , Xiaorong SHI , Ningning ZHANG , Jiexi LIU . Design of hybrid intelligent decision framework for multi⁃agent and multi⁃coupling tasks[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(S2) : 729770 -729770 . DOI: 10.7527/S1000-6893.2023.29770

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