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Commit 4c5f6316 authored by Winni's avatar Winni
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...@@ -5,8 +5,10 @@ Pythonic Genetic MPI paralelized Algorithm ...@@ -5,8 +5,10 @@ Pythonic Genetic MPI paralelized Algorithm
# PyGMA Documentation # PyGMA Documentation
### Words ### Words
Individuals: an individual with its own genome and a fitness value. It represents one solution in the search space. Individuals: Individual with its own genome and a fitness value. It represents one solution in the search space.
Population: an ensemble of many individuals Population: an ensemble of many individuals
Operator Stack: stack of genetic operators that will be applied sequentially on the genes of a population. Operator Stack: stack of genetic operators that will be applied sequentially on the genes of a population.
PyGMA (Pythonic Genetic MPI Parallelized Algorithm) is a genetic algorithm. PyGMA (Pythonic Genetic MPI Parallelized Algorithm) is a genetic algorithm.
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...@@ -47,7 +47,9 @@ CONFIG = { ...@@ -47,7 +47,9 @@ CONFIG = {
# use mpi parallelization # use mpi parallelization
# If use_mpi4py_futures=False start with: # If use_mpi4py_futures=False start with:
# mpiexec -n 3 python PyGMA.py # mpiexec -n 3 python PyGMA.py
'use_mpi': False, # or use threads if not specified via slurm
# mpiexec -n 3 --use-hwthread-cpus python PyGMA.py
'use_mpi': True,
# use mpi4py.futures # use mpi4py.futures
# this will dynamically spawn workers. # this will dynamically spawn workers.
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