Teaching · IMT Atlantique MOST Course · 2026

Course Resources & Benchmark

Find below the problem benchmark instances, format reference, and validation tools for the logistics optimization project.

📖 Interactive Case Study

Read the client brief, business context, legacy failure diagnosis, and project grading rubric (Steps 00 to 04).

Open Lab (#p0 - #p4)

⚡ Solution Evaluator

Audit and validate your solution JSON in real time inside your browser with zero dependencies.

Open Evaluator

Benchmark Files & Resources

Download the official problem datasets and evaluation scripts below.

Benchmark Specifications

🔒 Locked

Complete documentation detailing the mathematical model, synchronization rules at relay stations, and operational constraints.

Toy Instance · Format Reference

JSON

Minimal 2-client test instance (1 DP, 1 DS, 2 PL) with its valid solution. Use this as the official reference for input data and submission JSON schema.

📥 Toy Instance 📥 Valid Solution (Template)

Benchmark Instances (Small & Medium)

JSON

Official benchmark instances to solve: Small Easy (8 clients, 1 DP, 2 DS) and Medium Production (35 clients, 1 DP, 3 DS). Solutions are not provided.

📥 Small Instance (8 PL) 📥 Medium Instance (35 PL)

Python CLI Validator

🔒 Locked

Standalone evaluation script (standard Python 3, zero external dependencies) to audit your solutions directly in your terminal.

Starter Script · load_data.py

🔒 Locked

Starter Python skeleton to quickly load, parse, and explore problem instance files and node matrices.

💻 Running the Local CLI Validator

To audit your solution offline from PowerShell or Bash, run:

                python scripts/evaluate_solution.py --instance data/toy_2pl/instance_toy_2pl.json --solution data/toy_2pl/solution_toy_valid.json
            