Tournament selection dominated
This file is part of the TPOT library.
The current version of TPOT was developed at Cedars-Sinai by: - Pedro Henrique Ribeiro (https://github.com/perib, https://www.linkedin.com/in/pedro-ribeiro/) - Anil Saini (anil.saini@cshs.org) - Jose Hernandez (jgh9094@gmail.com) - Jay Moran (jay.moran@cshs.org) - Nicholas Matsumoto (nicholas.matsumoto@cshs.org) - Hyunjun Choi (hyunjun.choi@cshs.org) - Miguel E. Hernandez (miguel.e.hernandez@cshs.org) - Jason Moore (moorejh28@gmail.com)
The original version of TPOT was primarily developed at the University of Pennsylvania by: - Randal S. Olson (rso@randalolson.com) - Weixuan Fu (weixuanf@upenn.edu) - Daniel Angell (dpa34@drexel.edu) - Jason Moore (moorejh28@gmail.com) - and many more generous open-source contributors
TPOT is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
TPOT is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License along with TPOT. If not, see http://www.gnu.org/licenses/.
tournament_selection_dominated(scores, k, n_parents=2, rng=None)
¶
Select the best individual among 2 randomly chosen individuals, k times. Selection is first attempted by checking if one individual dominates the other. Otherwise one with the highest crowding distance is selected. The returned list contains the indices of the chosen individuals.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
scores |
ndarray
|
The score matrix, where rows the individuals and the columns are the corresponds to scores on different objectives. |
required |
k |
int
|
The number of individuals to select. |
required |
n_parents |
int
|
The number of parents to select per individual. The default is 2. |
2
|
rng |
(int, Generator)
|
The random number generator. The default is None. |
None
|
Returns:
Type | Description |
---|---|
A array of indices of selected individuals of shape (k, n_parents).
|
|