Task allocation planning based on hierarchical task network for national economic mobilization

Peng Zhao (), Keqin Li (), Bo Hong (), Armando Zhu (), Jiabei Liu () and Shuying Dai ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 5, issue 1, 22-31

Abstract: In order to cope with the task allocation in national economic mobilization, a task allocation planning method based on Hierarchical Task Network (HTN) for national economic mobilization is proposed. An HTN planning algorithm is proposed to solve and optimize task allocation, and an algorithm is designed to solve resource shortage. Finally, a case study verifies the effectiveness of the proposed method based on a real task allocation case in national economic mobilization.

Keywords: Hierarchical Task Network; task allocation planning; national economic mobilization (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://newjaigs.com/index.php/JAIGS/article/view/150 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:das:njaigs:v:5:y:2024:i:1:p:22-31:id:150

Access Statistics for this article

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 is currently edited by Justyna Żywiołek

More articles in Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 from Open Knowledge
Bibliographic data for series maintained by Open Knowledge ().