Kurobako blog: sa.py

sa.py

# A solver implementation based on Simulated Annealing algorithm.
from kurobako import solver
from kurobako.solver.optuna import OptunaSolverFactory
import optuna
 
class SimulatedAnnealingSampler(optuna.BaseSampler):
    # Please refer to
    # https://github.com/optuna/optuna/blob/v1.0.0/examples/samplers/simulated_annealing_sampler.py
    # for the implementation.
    ...
 
def create_study(seed):
    sampler = SimulatedAnnealingSampler(seed=seed)
    return optuna.create_study(sampler=sampler)
 
if __name__ == ‘__main__’:
    factory = OptunaSolverFactory(create_study)
    runner = solver.SolverRunner(factory)
    runner.run()