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Survey of distributed algorithms for resource allocation over multi-agent systems
DOI:10.1016/j.arcontrol.2024.100983.png)
Abstract
En 中文
• Clearly defining the problem of resource allocation and scheduling in multi-agent systems and presenting a formal mathematical framework that captures its essence. • Exploring various real-world applications where resource allocation and scheduling are crucial in cloud computing, transportation systems, and smart grids. • Summarizing state-of-the-art solutions for distributed resource allocation, including linear, nonlinear, primal-based, and dual-formulation-based approaches. • Analysing different features of the existing algorithms in terms of feasibility, convergence, and network reliability.
Journal
IF:
10.7
Papers:
828
Citations:
5.9K

