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Evolutionary-Intelligence authored Oct 28, 2024
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Expand Up @@ -105,12 +105,12 @@ specific structure.](https://www.jmlr.org/papers/volume18/14-467/14-467.pdf)"
some certain LSO circumstances),
* ![b](https://img.shields.io/badge/*-b-lightgrey.svg): indicates the **baseline** BBO version
mainly for *theoretical* and/or *educational* interest, owing to its algorithmic simplicity
(usually relative ease to mathematical analysis).
(usually relative ease to mathematical analyze).

Note that this above classification based on only the dimension of objective function is just a
very rough estimation for **algorithm selection**. In practice, perhaps the **simplest** way to
algorithm selection is **trial-and-error**. Or you can try more advanced [Automated Algorithm
Selection](https://doi.org/10.1162/evco_a_00242) techniques.
Note that this above classification based on only the dimension of objective function is *just a
very rough* estimation for **algorithm selection**. In practice, perhaps the **simplest** way to
algorithm selection is **trial-and-error**. Otherwise, you can try more advanced [Automated
Algorithm Selection](https://doi.org/10.1162/evco_a_00242) techniques.
******* *** *******

Clearly, this is an **algorithm-centric** rather than benchmarking-centric Python library only
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