feat: Add SMGPRegressor (Smooth Multifunction Genetic Programming

algorithms/smgp/LICENSE

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+MIT License
+
+Copyright (c) 2026 MichalicekPetr
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.

algorithms/smgp/environment.yml

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+name: smgp
+channels:
+  - defaults
+dependencies:
+  - python=3.11
+  - pip
+  - pip:
+    - numpy
+    - pandas
+    - scikit-learn
+    - sympy

algorithms/smgp/metadata.yml

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+name: smgp
+
+description: >-
+  Smooth Multifunction Genetic Programming regressor with a scikit-learn-compatible API and symbolic model export.
+authors:
+  - Petr Michalíček, Tomáš Brandejský
+language: python
+license: MIT