A VIKTOR wrapper to wrap your optimization function and make it the fitness function for a Genetic Algorithm.
You can install this package directly from GitHub:
pip install git+https://github.com/viktor-platform/optimize_wrapper.git
import viktor as vkt from optimize_wrapper import genetic_optimize class Parametrization(vkt.Parametrization): section = vkt.Section("Section") section.x = vkt.NumberField("X") section.y = vkt.NumberField("Y") class Controller(vkt.Controller): parametrization = Parametrization @genetic_optimize( optimized_parameters=Parametrization, path="section", sol_per_pop=250, num_generations=100, amount_of_solutions=100 ) def optimize_x_and_y(self, optimized_params, params, **kwargs): return optimized_params.x + optimized_params.y
- Python >= 3.8
- munch >= 4.0.0
- pygad >= 3.5.0
- viktor >= 14.24.0
- matplotlib
- numpy
To install in development mode:
git clone https://github.com/viktor-platform/optimize_wrapper.git cd optimize_wrapper pip install -e .
This project is part of the VIKTOR platform.