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Evolutionary-Intelligence authored Dec 5, 2024
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Expand Up @@ -66,11 +66,12 @@ problem = {'fitness_function': rosenbrock,
Without loss of generality, only the **minimization** process is considered here, since
**maximization** can be easily transferred to **minimization** just by negating it.

* Run one black-box optimizer or more on the above optimization problem:
* Run one black-box optimizer or more on the above optimization problem. Owing to its
low computational complexity and well metric-learning ability, choose **LM-MA-ES**
just as an example. please refer to
https://pypop.readthedocs.io/en/latest/es/lmmaes.html.

```Python
# to choose e.g. LM-MA-ES (low computational complexity and metric-learning ability):
# -> please refer to https://pypop.readthedocs.io/en/latest/es/lmmaes.html
# LMMAES: Limited Memory Matrix Adaptation Evolution Strategy
from pypop7.optimizers.es.lmmaes import LMMAES
# to define algorithm options (which differ in details among different optimizers)
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