Multi-agent task planning and resource apportionment in a smart grid
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DOI: 10.1007/s13198-021-01467-3
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References listed on IDEAS
- Sergey Grachev & Petr Skobelev & Igor Mayorov & Elena Simonova, 2020. "Adaptive Clustering through Multi-Agent Technology: Development and Perspectives," Mathematics, MDPI, vol. 8(10), pages 1-17, September.
- Alfonso González-Briones & Fernando De La Prieta & Mohd Saberi Mohamad & Sigeru Omatu & Juan M. Corchado, 2018. "Multi-Agent Systems Applications in Energy Optimization Problems: A State-of-the-Art Review," Energies, MDPI, vol. 11(8), pages 1-28, July.
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Cited by:
- Nan Zhao & Chun Feng, 2023. "Research on Multi-AGV Task Allocation in Train Unit Maintenance Workshop," Mathematics, MDPI, vol. 11(16), pages 1-18, August.
- Huang Huang & Xinwei Cuan & Zhuo Chen & Lina Zhang & Hao Chen, 2023. "A Multiregional Agricultural Machinery Scheduling Method Based on Hybrid Particle Swarm Optimization Algorithm," Agriculture, MDPI, vol. 13(5), pages 1-18, May.
- Adeel Bashir & Sikandar Khan & Naveed Iqbal & Salem Bashmal & Sami Ullah & Fayyaz & Muhammad Usman, 2023. "A Review of the Various Control Algorithms for Trajectory Control of Unmanned Underwater Vehicles," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
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Keywords
Multi-agent systems; Hierarchical task network planning; Time preference; Multi-agents superiority;All these keywords.
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