Skip to content

Latest commit

 

History

History
36 lines (27 loc) · 1.13 KB

README.md

File metadata and controls

36 lines (27 loc) · 1.13 KB
Raw

Genetic Algorithm

Genetic algorithm for global geometry optimisation

This folder contains three algorithms for the gentic algorithm approach. genetic_algorithm.py is a sequential version, whereas ga_distributed.py and ga_sub_populations.py are parallel implementations using mpi4py.

Configuration

The directory genetic_algorithm/config/ contains a config file for each of the algorithms. All of the parameters there can also be changed from the command line. Command line has priority. Use the -h option to get a help menu.

How to run

Run genetic_algorithm.py

python3 genetic_algorithm.py

Run ga_distributed.py

mpiexec -n P python3 ga_distributed.py
  • P is the number of processors
  • Specify configuration in config file or by terminal arguments
  • Add -h for help menu

Run ga_sub_population.py

mpiexec -n P python3 ga_sub_populations.py
  • Specify configuration in config file or by terminal arguments
  • Add -h for help menu