Multi-Agent Systems and Application
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 10 May 2025 | Viewed by 234
Special Issue Editors
Interests: distributed optimization; smart grid; multi-agent systems; autonomous system
Interests: artificial intelligence; knowledge representation and management; discrete dynamical simulation; cellular automata, multi-agent systems
Special Issue Information
Dear Colleagues,
This Special Issue is devoted to multi-agent systems (MASs) and their application in various research fields. As society and engineering technologies advance, the complexity of the tasks we face continues to increase. By leveraging multi-agent systems, we can effectively decompose large and complex problems into smaller and more manageable ones for efficient resolution. In the field of energy, distributed energy resources are becoming increasingly prevalent. By leveraging multi-agent systems, we can achieve efficient management and control of these distributed energy sources. Furthermore, in deep learning, training models often demand significant computational resources and large datasets. By distributing the training tasks across multiple agents, these agents can process data concurrently on different nodes and share the results, thereby accelerating the training process and improving the model's accuracy and generalization capabilities. Additionally, in the field of cooperative control, the application of multi-agent systems in autonomous systems like drones holds significant importance. For instance, in drone formation flying, multi-agent systems enable precise collaboration between drones, optimizing flight path planning, task allocation, and collision avoidance, thereby significantly enhancing the efficiency and safety of mission execution. The aim of this Special Issue is to promote the development of distributed optimization and control of energy systems, distributed training of deep learning models, cooperative control of autonomous systems, and provide a communication platform for the novel ideas. We warmly welcome high-quality original research articles presenting new methods, well-summarized reviews, and far-sighted prospects.
Dr. Ranran Li
Prof. Dr. Stefania Bandini
Guest Editors
Manuscript Submission Information
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Keywords
- distributed optimization
- smart grid
- distributed control
- multi-agent systems
- autonomous system
- cooperative control
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