Multi-Agent Task Allocation with Multiple Depots Using Graph Attention Pointer Network

The study of the multi-agent task allocation problem with multiple depots is crucial for investigating multi-agent collaboration. Although many traditional heuristic algorithms can be adopted to handle the concerned task allocation problem, they are not able to efficiently obtain optimal or suboptim...

Full description

Bibliographic Details
Main Authors: Wen Shi, Chengpu Yu
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/12/16/3378
_version_ 1797584980210089984
author Wen Shi
Chengpu Yu
author_facet Wen Shi
Chengpu Yu
author_sort Wen Shi
collection DOAJ
description The study of the multi-agent task allocation problem with multiple depots is crucial for investigating multi-agent collaboration. Although many traditional heuristic algorithms can be adopted to handle the concerned task allocation problem, they are not able to efficiently obtain optimal or suboptimal solutions. To this end, a graph attention pointer network is built in this paper to deal with the multi-agent task allocation problem. Specifically, the multi-head attention mechanism is employed for the feature extraction of nodes, and a pointer network with parallel two-way selection and parallel output is introduced to further improve the performance of multi-agent cooperation and the efficiency of task allocation. Experimental results are provided to show that the presented graph attention pointer network outperforms the traditional heuristic algorithms.
first_indexed 2024-03-10T23:59:21Z
format Article
id doaj.art-888e2aeb021843deadb10f091290d971
institution Directory Open Access Journal
issn 2079-9292
language English
last_indexed 2024-03-10T23:59:21Z
publishDate 2023-08-01
publisher MDPI AG
record_format Article
series Electronics
spelling doaj.art-888e2aeb021843deadb10f091290d9712023-11-19T00:52:43ZengMDPI AGElectronics2079-92922023-08-011216337810.3390/electronics12163378Multi-Agent Task Allocation with Multiple Depots Using Graph Attention Pointer NetworkWen Shi0Chengpu Yu1School of Automation, Beijing Institute of Technology, Beijing 100081, ChinaSchool of Automation, Beijing Institute of Technology, Beijing 100081, ChinaThe study of the multi-agent task allocation problem with multiple depots is crucial for investigating multi-agent collaboration. Although many traditional heuristic algorithms can be adopted to handle the concerned task allocation problem, they are not able to efficiently obtain optimal or suboptimal solutions. To this end, a graph attention pointer network is built in this paper to deal with the multi-agent task allocation problem. Specifically, the multi-head attention mechanism is employed for the feature extraction of nodes, and a pointer network with parallel two-way selection and parallel output is introduced to further improve the performance of multi-agent cooperation and the efficiency of task allocation. Experimental results are provided to show that the presented graph attention pointer network outperforms the traditional heuristic algorithms.https://www.mdpi.com/2079-9292/12/16/3378task allocationattention mechanismmulti-agent system
spellingShingle Wen Shi
Chengpu Yu
Multi-Agent Task Allocation with Multiple Depots Using Graph Attention Pointer Network
Electronics
task allocation
attention mechanism
multi-agent system
title Multi-Agent Task Allocation with Multiple Depots Using Graph Attention Pointer Network
title_full Multi-Agent Task Allocation with Multiple Depots Using Graph Attention Pointer Network
title_fullStr Multi-Agent Task Allocation with Multiple Depots Using Graph Attention Pointer Network
title_full_unstemmed Multi-Agent Task Allocation with Multiple Depots Using Graph Attention Pointer Network
title_short Multi-Agent Task Allocation with Multiple Depots Using Graph Attention Pointer Network
title_sort multi agent task allocation with multiple depots using graph attention pointer network
topic task allocation
attention mechanism
multi-agent system
url https://www.mdpi.com/2079-9292/12/16/3378
work_keys_str_mv AT wenshi multiagenttaskallocationwithmultipledepotsusinggraphattentionpointernetwork
AT chengpuyu multiagenttaskallocationwithmultipledepotsusinggraphattentionpointernetwork