Next Article in Journal
Quantum Simulation of the Shortcut to the Adiabatic Passage Using Nuclear Magnetic Resonance
Previous Article in Journal
Partition-Based Point Cloud Completion Network with Density Refinement
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Entropy
Volume 25
Issue 7
10.3390/e25071019
entropy-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Distributed Optimization for Resource Allocation Problem with Dynamic Event-Triggered Strategy

by
Feilong Guo
,
Xinrui Chen
,
Mengyao Yue
,
Haijun Jiang
* and
Siyu Chen
College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, China
*
Author to whom correspondence should be addressed.
Entropy 2023, 25(7), 1019; https://doi.org/10.3390/e25071019
Submission received: 11 May 2023 / Revised: 24 June 2023 / Accepted: 29 June 2023 / Published: 4 July 2023
(This article belongs to the Section Complexity)
Browse Figures
Versions Notes

Abstract

This study aims to unravel the resource allocation problem (RAP) by using a consensus-based distributed optimization algorithm under dynamic event-triggered (DET) strategies. Firstly, based on the multi-agent consensus approach, a novel one-to-all DET strategy is presented to solve the RAP. Secondly, the proposed one-to-all DET strategy is extended to a one-to-one DET strategy, where each agent transmits its state asynchronously to its neighbors. Furthermore, it is proven that the proposed two types of DET strategies do not have Zeno behavior. Finally, numerical simulations are provided to validate and illustrate the effectiveness of the theoretical results.
Keywords: resource allocation problem; distributed optimization; dynamic event-triggered; consensus; Zeno behavior resource allocation problem; distributed optimization; dynamic event-triggered; consensus; Zeno behavior

Share and Cite

MDPI and ACS Style

Guo, F.; Chen, X.; Yue, M.; Jiang, H.; Chen, S. Distributed Optimization for Resource Allocation Problem with Dynamic Event-Triggered Strategy. Entropy 2023, 25, 1019. https://doi.org/10.3390/e25071019

AMA Style

Guo F, Chen X, Yue M, Jiang H, Chen S. Distributed Optimization for Resource Allocation Problem with Dynamic Event-Triggered Strategy. Entropy. 2023; 25(7):1019. https://doi.org/10.3390/e25071019

Chicago/Turabian Style

Guo, Feilong, Xinrui Chen, Mengyao Yue, Haijun Jiang, and Siyu Chen. 2023. "Distributed Optimization for Resource Allocation Problem with Dynamic Event-Triggered Strategy" Entropy 25, no. 7: 1019. https://doi.org/10.3390/e25071019

APA Style

Guo, F., Chen, X., Yue, M., Jiang, H., & Chen, S. (2023). Distributed Optimization for Resource Allocation Problem with Dynamic Event-Triggered Strategy. Entropy, 25(7), 1019. https://doi.org/10.3390/e25071019

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop