Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)

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Distributed Terminal Iterative Learning Strategy for a Convex Optimization with Application to Resource Allocation

Authors
Hongyu Yang1, Zijian Luo2, *
1School of Mathematics, Southwestern University of Finance and Economics, Chengdu, People’s Republic of China
2Department of Computing and Artificial Intelligence, Southwestern University of Finance and Economics, Chengdu, People’s Republic of China
*Corresponding author. Email: zjluomath@126.com
Corresponding Author
Zijian Luo
Available Online 15 December 2022.
DOI
10.2991/978-94-6463-038-1_14How to use a DOI?
Keywords
Terminal consensus; Distributed learning strategy; Distributed convex optimization; Multiagent systems; Inventory resource allocation
Abstract

In the real world, network systems are ubiquitous such as supply chain inventory systems. In addition, resource allocation is an important research direction in the inventory control. Also, it inspired us to study the inventory resource optimization problem from the view of the network system. Thus, this paper investigates a class of resource allocation problem by applying terminal iterative learning control (ILC) strategy. According to the terminal ILC approach, the lowest cost can be obtained for a certain amount of inventory, i.e., the resource allocation problem is effectively solved. The main results are proposed with the help of consensus theory and iterative learning method. Different with the existing distributed optimization algorithms, our scheme provides another effective method of resolution. Finally, an example is given to verify the effectiveness of the main results.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)
Series
Atlantis Highlights in Engineering
Publication Date
15 December 2022
ISBN
978-94-6463-038-1
ISSN
2589-4943
DOI
10.2991/978-94-6463-038-1_14How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Hongyu Yang
AU  - Zijian Luo
PY  - 2022
DA  - 2022/12/15
TI  - Distributed Terminal Iterative Learning Strategy for a Convex Optimization with Application to Resource Allocation
BT  - Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)
PB  - Atlantis Press
SP  - 134
EP  - 144
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-038-1_14
DO  - 10.2991/978-94-6463-038-1_14
ID  - Yang2022
ER  -