This repository contains the supplementary materials for my thesis. It includes MATLAB code, result files, and a benchmarking script for reproducing the results. The results are generated using a combination of commercial and open-source software.
benchmarking.mlx: MATLAB live script to reproduce the results.results/: Folder containing the result files in .mat format.*.m: MATLAB code used for the thesis, including the main scripts and functions.README.md: This file.
- MATLAB (tested with version R2024a)
- Gurobi: Requires installation and an academic license.
git clone https://github.com/azinoveva/mouc_vre.git
cd mouc_vre- MATLAB: Make sure MATLAB is installed on your system.
- SeDuMi: Download and add SeDuMi to your MATLAB path. Follow the instructions on the SeDuMi GitHub page.
- YALMIP: Download and add YALMIP to your MATLAB path. Follow the instructions on the YALMIP website.
- Gurobi: Install Gurobi from the official website. Follow the instructions to activate your academic license. Add Gurobi to your MATLAB path by following the instructions provided by Gurobi.
- Ensure all prerequisites are installed and configured.
- Open MATLAB and navigate to the cloned repository directory.
- Run the benchmarking.mlx live script to reproduce the results.
open('benchmarking.mlx')results.mat from the results/ folder for a shortcut.
| Unit | G_max | a | b | C_run | C_start | T_min |
|---|---|---|---|---|---|---|
| U1 | 455 | 16.19 | 0.00048 | 1000 | 9000 | 8 |
| U2 | 455 | 17.26 | 0.00031 | 970 | 10000 | 8 |
| U3 | 130 | 16.6 | 0.002 | 700 | 1100 | 5 |
| U4 | 130 | 16.5 | 0.00211 | 680 | 1120 | 5 |
| U5 | 162 | 19.7 | 0.00398 | 450 | 1800 | 6 |
| U6 | 80 | 22.26 | 0.00712 | 370 | 340 | 3 |
| U7 | 85 | 27.74 | 0.000793 | 480 | 520 | 3 |
| U8 | 55 | 25.92 | 0.00413 | 660 | 60 | 1 |
| U9 | 55 | 27.27 | 0.002221 | 665 | 60 | 1 |
| U10 | 55 | 27.79 | 0.00173 | 670 | 60 | 1 |