|
Last change
on this file since 1326 was
1190,
checked in by Maciej Komosinski, 2 years ago
|
|
Added the "evolalg" module for evolutionary optimization
|
|
File size:
592 bytes
|
| Line | |
|---|
| 1 | import numpy as np |
|---|
| 2 | |
|---|
| 3 | |
|---|
| 4 | class RandomIndexSequence: |
|---|
| 5 | """A helper function for tournament selection. Allows each individual to take part in a tournament, |
|---|
| 6 | thus reducing the risk of overlooking individuals by not sampling them due to uncontrolled |
|---|
| 7 | randomness, as can happen in the naive implementation of tournament selection.""" |
|---|
| 8 | |
|---|
| 9 | def __init__(self, popsize): |
|---|
| 10 | self.popsize: int = popsize |
|---|
| 11 | self.permut: list = [] |
|---|
| 12 | |
|---|
| 13 | def getNext(self): |
|---|
| 14 | if len(self.permut) < 1: |
|---|
| 15 | self.permut = list(np.random.permutation(self.popsize)) |
|---|
| 16 | return self.permut.pop() |
|---|
Note: See
TracBrowser
for help on using the repository browser.
