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Merge pull request #98 from smohsinali/docs
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Add information about Michalewicz function in benchmarks section
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KEggensperger committed Aug 7, 2015
2 parents 1323a43 + ffc495f commit 6bb7ce4
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18 changes: 16 additions & 2 deletions docs/source/algorithms_and_datasets.rst
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Expand Up @@ -83,6 +83,16 @@ Whether it makes sense to do so is indicated in the column CV.
<td align="center">Python</td>
<td aligh="center">no</td>
</tr>
<tr>
<td align="center"><a href="algorithms_and_datasets.html#braninhar6camel">Michalewicz</a></td>
<td align="center">10(-)</td>
<td align="center">10/-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">&lt; 1s</td>
<td align="center">Python</td>
<td aligh="center">no</td>
</tr>
</tbody><tbody>
<tr>
<td align="center"><a href="algorithms_and_datasets.html#svmlda">LDA ongrid<a></td>
Expand Down Expand Up @@ -153,18 +163,19 @@ Description

.. _braninhar6camel:

Branin, RKHS, Hartmann 6d and Camelback Function
Branin, RKHS, Hartmann 6d, Michalewicz and Camelback Function
------------------------------------------

This benchmark already comes with the basic *HPOlib* bundle.

**Dependencies:** None |br|
**Recommended:** None

Branin, RKHS, Camelback and the Hartmann 6d function are three simple test functions,
Branin, RKHS, Camelback, Michalewicz and the Hartmann 6d function are five simple test functions,
which are easy and cheap to evaluate. More test functions can be found
`here <http://www-optima.amp.i.kyoto-u.ac.jp/member/student/hedar/Hedar_files/TestGO_files/Page364.htm>`_.
|br|
|br|
Branin has three global minima at (-pi, 12.275), (pi, 2.275), (9.42478, 2.475) where f(x)=0.397887.
|br|
RKHS has single global minima at x=0.89235 where f(x)=5.73839.
Expand All @@ -173,6 +184,9 @@ Camelback has two global minima at (0.0898, -0.7126) and (-0.0898, 0.7126) where
|br|
Hartmann 6d is more difficult with 6 local minima and one global optimum at
(0.20169, 0.150011, 0.476874, 0.275332, 0.311652, 0.6573) where f(x)=3.32237.
|br|
Michalewicz is usually evaluated on the hypercube x\ :sub:`i`\ ∈ [0, pi], for all i = 1, …, d.
For d=10 its global minima value is f(x) = -9.66015.

.. _svmlda:

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