Summary of Applying Multi-agent Negotiation to Solve the Production Routing Problem with Privacy Preserving, by Luiza Pellin Biasoto et al.
Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving
by Luiza Pellin Biasoto, Vinicius Renan de Carvalho, Jaime Simão Sichman
First submitted to arxiv on: 13 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Multiagent Systems (cs.MA)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed approach addresses the Production Routing Problem with Privacy Preserving (PRPPP) in supply chain optimization by integrating intelligent agent negotiation within a hybrid Multi-Agent System (MAS) and optimization algorithms. The paper presents a novel framework for solving complex supply chain optimization problems, leveraging synergies between MAS and optimization methods to establish optimal solutions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The approach enables private information encapsulation, facilitates communication and coordination among entities, and supports real-world applications. By using intelligent agent negotiation within a hybrid MAS and optimization algorithms, the paper offers a compelling framework for addressing complex supply chain optimization problems. |
Keywords
» Artificial intelligence » Optimization
