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Winfried Gero Oed
Pygma
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4c5f6316
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4c5f6316
authored
1 year ago
by
Winni
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README.md
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README.md
src/config.py
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src/config.py
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@@ -5,8 +5,10 @@ Pythonic Genetic MPI paralelized Algorithm
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@@ -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 = {
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@@ -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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