updates to 2.5

content/GA_2_5/README.md

-# Project 9 Report: Optimization
+# README for Group Assignment 2.5
 
-*[CEGM1000 MUDE](http://mude.citg.tudelft.nl/).*
+*[CEGM1000 MUDE](http://mude.citg.tudelft.nl/): Week 2.5, Friday, Dec 13th, 2024.**
 
-The focus of this assignment is on applying two different methods for optimization on a road network design problem. Part of the background material in the notebooks was already available in [Chapter 5.11 of the textbook](https://mude.citg.tudelft.nl/2023/book/optimization/project.html).
+The focus of this assignment is on applying two different methods for optimization on a road network design problem. Part of the background material in the notebooks was already available in Chapter 5 in the textbook.
 
 ## Overview of material
 
@@ -10,40 +10,18 @@ The focus of this assignment is on applying two different methods for optimizati
 - `Report.md`, primary file in which you write your answers to some questions and eventually copy plots from the notebooks. Typically, a short, one-line answer is sufficient, but please include a short reasoning, justification or argumentation. Remember to use Markdown features to clearly indicate your answers for each question below.
 - `Analysis_LP.ipynb`, the notebook in which you apply a mixed integer linear program (MILP) to a road network design problem (NDP).
 - `Analysis_GA.ipynb`, the notebook in which you apply a genetic algorithm (GA) to the same road network design problem (NDP).
-- `environment.yml`, for creating a Python environment
 - a subdirectory `./utils` containing some functions for visualization (which you don't need to open).
 - a subdirectory `./figs` containing some figures included in the notebooks (which you don't need to open).
 - a subdirectory `./input` containing data files 
 - a `.gitignore` file preventing your imported data in the `./input` subdirectory being pushed to Gitlab.
 
-### Python Environments
+## Python Environments
 
-You can run all of the notebooks for today in the environment `mude-opt` which you've been using during the workshop this week (WS13). In particular, it includes the optimization packages `pymoo` and `gurobipy`. The non-Python part of the software Gurobi was installed as part of PA 2.4.
+You can run all of the notebooks for today in the environment `mude-week-2-5` which you've been using during the workshop this week (WS13). In particular, it includes the optimization packages `pymoo` and `gurobipy`. The non-Python part of the software Gurobi was installed as part of PA 2.4.
 
-The `*.yml` file included in this repository is the same as that used for WS13 this week, so you can re-use the same Conda environment (e.g., `conda activate mude-opt`). Here are a few tips to remember when using Anaconda prompt:
+## Task Overview
+ADD TASK OVERVIEW
 
-- Review your existing environments with `conda info --envs`
-- Create an environment with command `conda env create -f environment.yml`
-- For the activated environment, check the packages explicitly requested with `conda env export --from-history`
-- If you want to create a new environment from the `*.yml` file, but the name already exists, simply change the name in the file using a text editor
-
-## Submission and deadline
-
-- Submit your answers, together with any relevant plots, in the Markdown file `Report.md`. This is the primary document that will be used to determine your grade; however, the auxiliary files (e.g., `*.ipynb` or `*.py` files) may be checked in case something is not clear.
-- The deadline is to submit your work by making commits to your Group's GitLab repository by Friday at 12:30h.
-- This project will be graded on interpretation, application, documentation and programming.
-
-## Repository, Formatting and Static Check
-
-There is no static check for this project. Be sure to leave the outputs from your code cells in your `*.ipynb` file so that they are readable.
-
-You are always expected to provide well-formatted figures and Markdown text in your `Report.md` file, as well as logically organize any auxiliary files you may use (e.g., try to put your figures in a sub-directory, if there are a lot of them). If you run out of time it is OK if your `*ipynb` files do not run.
-
-## Backup data links
-
-Sometimes the download links reach a maximum limit. If the link above no longer works, try one of these:
-- [Backup link 1](https://surfdrive.surf.nl/files/index.php/s/StqaFtNDg6DNR4a/download)
-- [Backup link 2](https://surfdrive.surf.nl/files/index.php/s/tC56Rpbhd7WpN9k/download)
 
 **End of file.**
 

content/GA_2_5/environment.yml

-name: mude-opt
-dependencies:
-  - python=3.12
-  - numpy
-  - scipy
-  - pandas
-  - matplotlib
-  - pip
-  - jupyter
-  - ipykernel
-  - pip
-  - conda-forge::pymoo
-  - gurobi::gurobi
\ No newline at end of file