On Innovation-Based Triggering for Event-Based Distributed Material Optimization Dispatching Algorithm
- DOI
- 10.2991/978-94-6463-256-9_67How to use a DOI?
- Keywords
- material dispatching; asynchronous communication; event triggering; distributed optimization; ETAMD algorithm
- Abstract
This paper investigates the problem of material dispatching for the logistics system. Traditional optimization algorithms are too costly to establish clock synchronization when solving large-scale material dispatching problems. At the same time, small changes in each area can trigger global information interactions, resulting in significant communication costs. For this reason, construct ETAMD (Event-triggered asynchronous material dispatch) distributed optimization algorithm to solve the problem using an asynchronous communication event-triggered model. This algorithm, firstly, eliminates the reliance on clock synchronization. Secondly, reduces meaningless communication between participants and reduces the amount of computation for minimizing the total cost of material dispatching. In the end of the thesis, the effectiveness of the proposed algorithm is verified by simulation results.
- Copyright
- © 2024 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
TY - CONF AU - Kaiwei Jia AU - Jinjing Wang PY - 2023 DA - 2023/10/09 TI - On Innovation-Based Triggering for Event-Based Distributed Material Optimization Dispatching Algorithm BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 657 EP - 671 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_67 DO - 10.2991/978-94-6463-256-9_67 ID - Jia2023 ER -