AI Foundation Model for Routing

The AI foundation model for routing is a unified solver for multiple VRP variants, using a parallelized environment, Global Feature Embeddings, and Efficient Adapter Layers to enhance robustness, adaptability, and performance across 24 VRP variants.

Encoder

Develops an encoder module to effectively represent the problem’s characteristics. Utilizes graph representation techniques to express the relationships between optimization variables and constraints. Focuses on extracting problem representations that predict feasible solutions, improving solution generation probability.

Decoder

Creates a deep neural network architecture to generate solutions from the problem representation vectors. Employs Transformer or Diffusion models to generate solutions with a focus on feasibility, optimality, diversity, and generation speed. Incorporates inductive biases to guide the solution generation and enhance problem-specific adaptability.