Allocation of Mining Sites to Optimize Land Use

Land Use Optimization towards mining with minimal ecological impact in Mato Grosso, Brazil

How to run the optimization

Install the necessary libraries by running the command pip install requirements.txt. It is recommended to install the libraries in a dedicated environment (e.g. using Anaconda).
Adjust the desired input adress in the file init_pop.py if necessary.
Execute the main file by running the command python run_nsga2_custom.py.

The pareto front, displayed by generations.

An optimized solution for mining yield.

More visualizations of the results can be found in the folder "figures".

Name		Name	Last commit message	Last commit date
Latest commit History 114 Commits
Topology		Topology
figures		figures
input_data		input_data
results		results
study_areas		study_areas
.gitattributes		.gitattributes
.gitignore		.gitignore
README.md		README.md
Tapping		Tapping
Vector.zip		Vector.zip
apply_constraints.py		apply_constraints.py
brasil_mining_with_status.zip		brasil_mining_with_status.zip
calc_obj.py		calc_obj.py
calculate_brazil_mining.R		calculate_brazil_mining.R
custom_crossover.py		custom_crossover.py
custom_extension_pymoo.py		custom_extension_pymoo.py
custom_mutation.py		custom_mutation.py
custom_sampling.py		custom_sampling.py
data_structure.py		data_structure.py
field_translation.py		field_translation.py
init_pop.py		init_pop.py
mining_from_verstegen_paper.zip		mining_from_verstegen_paper.zip
objectives.md		objectives.md
requirements.txt		requirements.txt
reverse_mutation.py		reverse_mutation.py
run_nsga2_custom.py		run_nsga2_custom.py
visualize_in_R.R		visualize_in_R.R
visualize_obj_space.py		visualize_obj_space.py
yield.csv		yield.csv