Leveraging Large Language Models for Intelligent Power Electronics PCB Routing Optimization

This repository provides the implementation of the paper:

"Leveraging Large Language Models for Intelligent Power Electronics PCB Routing Optimization" KU Leuven - EnergyVille, 2025 ECCE Europe Submission (Accepted)

Installation and Usage

1. Install dependencies with:

 ```pip install -r requirements.txt ``` 

2. Usage Prepare Input File: You need to prepare a layout.json file as the algorithm input. This file should contain the component types and their location information on the PCB.

Note: Due to proprietary constraints, the example layout.json is not open-sourced.

Run the Router: Navigate to the project directory and run:

 ```cd LLM_PCB_Router python main.py ``` 

This will load your layout.json, interact with a large language model to analyze the layout, use an improved A* algorithm to generate optimized routing paths, output the routing results with visualization

Example Results