Release v0.6.0
CHANGES
New features
should_stop() method which checks some termination criterion is added. You can easily implement IPOP-CMA-ES (#50) and BIPOP-CMA-ES (#54) by using this API. These algorithms performs well on multi-modal functions (See the benchmark of #58).
| IPOP-CMA-ES | BIPOP-CMA-ES |
|---|---|
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- Auger, A., Hansen, N.: A restart CMA evolution strategy with increasing population size. In: Proceedings of the 2005 IEEE Congress on Evolutionary Computation (CEC’2005), pp. 1769–1776 (2005a)
- Hansen N. Benchmarking a BI-Population CMA-ES on the BBOB-2009 Function Testbed. In the workshop Proceedings of the Genetic and Evolutionary Computation Conference, GECCO, pages 2389–2395. ACM, 2009.
Remove Optuna sampler.
Remove CMASampler(deprecated at v0.4.0) and monkeypatch (deprecated at v0.5.0) for Optuna.
Please use Optuna's official CMA-ES sampler which will be stabled at v2.0.0. You can quickly migrated to Optuna's official sampler by replacing your imports with optuna.samplers.CmaEsSampler(). See the documentation for details.
Deprecate cmaes.cma module.
cmaes.cma module is now deprecated. Please import CMA class from the package root (#46).
from cmaes.cma import CMA # Deprecated!
↓
from cmaes import CMA # Do this!