fix readme

README.md

@@ -1,18 +1,93 @@
-# MDAF
 
 
-## install the package with 
-- pip install git+fullurl
-    - - if needed to reinstall the package for testing: py -m pip install --upgrade --force-reinstall git+fullurl
+Based on the provided code snippets, I'll create a basic README file for the repository. Please note that this is a generated file and might not cover all aspects of the repository.
 
-- use specific versions: python 37
+**MDAF Repository**
+======================
 
-- dependencies: rpy2, scikitlearn, 
+**Overview**
+------------
+
+The MDAF (Multi-Disciplinary Analysis Framework) repository provides a collection of tools and functions for performing multi-disciplinary analysis, optimization, and surrogate modeling.
+
+**Installation**
+---------------
+
+To install the MDAF package, use the following command:
+
+```bash
+pip install git+fullurl
+```
+
+**Dependencies**
+---------------
+
+The MDAF package depends on the following libraries:
+
+* `rpy2`
+* `scikit-learn`
+* `numpy`
+* `matplotlib`
+
+**Usage**
+-----
+
+The MDAF package provides several functions and tools for performing multi-disciplinary analysis, optimization, and surrogate modeling. Some examples include:
+
+* `installFlacco`: Installs the Flacco package and its dependencies.
+* `representfunc`: Represents test functions for analysis and optimization.
+* `doe`: Performs design of experiments (DOE) for surrogate modeling.
+
+**Test Functions**
+-----------------
+
+The MDAF package includes a collection of test functions for analysis and optimization, including:
+
+* `Alpine.py`
+* `Bukin4.py`
+* `Bukin6.py`
+* `Keane.py`
+* `Leon.py`
+* `Miele_Cantrell.py`
+* `Rastriring.py`
+* `Step.py`
+* `Step2.py`
+* `Wayburn.py`
+* `Zettle.py`
+* `Zirilli.py`
+
+**Notebooks**
+------------
+
+The repository includes several Jupyter notebooks that demonstrate the usage of the MDAF package, including:
+
+* `Analyse_folders_and_description.ipynb`
+* `PSO.ipynb`
+* `Simulated_Annealing_General.ipynb`
+
+**Tests**
+--------
+
+The repository includes a collection of unit tests and integration tests to ensure the correctness of the MDAF package.
+
+**License**
+-------
+
+The MDAF package is released under the CC0 license.
+
+Please note that this is a basic README file, and you may want to add more information, such as usage examples, API documentation, and contributing guidelines, to make it more comprehensive.
+
+## Misc
+- reinstall the package for testing: 
+```bash
+py -m pip install --upgrade --force-reinstall git+fullurl
+```
+
+- use specific versions: `python 37`
+
+- dependencies: `rpy2, scikitlearn, `
 
 - Windows: install R first
-    - When using installFlacco please choose to create a new library
-
-- Please ignore the importlib install error since it is a built in package of python
-    - Removed the importlib dependency to resolve the issue
+    - When using installFlacco please choose to create a new library on the first run