MA-GTS introduces a multi-agent approach that breaks down complex graph-theoretic problems into simpler components for LLMs to solve more effectively.

• Overcomes traditional LLM limitations like input constraints and accuracy issues
• Enables practical solutions for logistics, communication networks, and traffic optimization
• Creates specialized agents for different aspects of problem-solving
• Demonstrates how AI collaboration can solve traditionally challenging engineering problems

This research matters for engineering because it provides a practical framework for using AI to optimize complex real-world systems where traditional algorithms struggle with irregular, noisy data.

MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications