Implement genetic algorithm for optimizing continuous functions
Describe your change:
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Added a flexible genetic algorithm that allows users to define their own target functions for optimization.
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Included features for population initialization, fitness evaluation, selection, crossover, and mutation.
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Example function provided for minimizing f(x, y) = x^2 + y^2.
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Configurable parameters for population size, mutation probability, and generations.
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Add an algorithm? ✅ Yes
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Fix a bug or typo in an existing algorithm? ❌ No
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Add or change doctests? ❌ No
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Documentation change? ❌ No
Checklist:
- [x] I have read CONTRIBUTING.md.
- [x] This pull request is all my own work -- I have not plagiarized.
- [x] I know that pull requests will not be merged if they fail the automated tests.
- [x] This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
- [x] All new Python files are placed inside an existing directory.
- [x] All filenames are in all lowercase characters with no spaces or dashes.
- [x] All functions and variable names follow Python naming conventions.
- [x] All function parameters and return values are annotated with Python type hints.
- [x] All functions have doctests that pass the automated testing.
- [x] All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
- [x] If this pull request resolves one or more open issues, then the description above includes the issue number(s) with a closing keyword: "Fixes #ISSUE-NUMBER".
Fixes #11578
Hi can anyone guide me why it is failing everytime i run it?
remove extra spaces thats the problem
remove extra spaces thats the problem
Thanks i will try to remove it and then rerun the jobs.
@night-spring can you guide me what extra spaces I need to remove as i am checking my code and based on that I can't able to find any extra whitespace. If possible for you can you help me for resolving the error and for merging this pr.
@night-spring can you guide me what extra spaces I need to remove as i am checking my code and based on that I can't able to find any extra whitespace. If possible for you can you help me for resolving the error and for merging this pr.
after end of every para of your code you may give two newlines. remove one.
@night-spring can you guide me what extra spaces I need to remove as i am checking my code and based on that I can't able to find any extra whitespace. If possible for you can you help me for resolving the error and for merging this pr.
after end of every para of your code you may give two newlines. remove one.
Para means functions right? Any other changes I need to do?
Thank you for you advice I will change it and push the code today itself
@night-spring and @cclauss what this error means?
2024-10-04T06:39:26.5187712Z ##[group]Run ruff check --output-format=github .
ruff check --output-format=github .
shell: /usr/bin/bash -e {0}
genetic_algorithm/genetic_algorithm_optimization.py:1:1: I001 Import block is un-sorted or un-formatted
Process completed with exit code 1.
And also this one
genetic_algorithm/genetic_algorithm_optimization.py:1:1: I001 [*] Import block is un-sorted or un-formatted
|
1 | / import numpy as np
2 | | import random
3 | | from concurrent.futures import ThreadPoolExecutor
4 | |
5 | |
6 | | # Parameters
| |_^ I001
7 | N_POPULATION = 100 # Population size
8 | N_GENERATIONS = 500 # Maximum number of generations
|
= help: Organize imports
Found 1 error.
[*] 1 fixable with the `--fix` option.
@night-spring and @cclauss what this error means?
2024-10-04T06:39:26.5187712Z ##[group]Run ruff check --output-format=github . ruff check --output-format=github . shell: /usr/bin/bash -e {0} genetic_algorithm/genetic_algorithm_optimization.py:1:1: I001 Import block is un-sorted or un-formatted Process completed with exit code 1. ``
just fix format using copilot or any ai
https://docs.astral.sh/ruff/rules/#isort-i
% ruff check --select=I001 --fix genetic_algorithm/genetic_algorithm_optimization.py
% ruff rule I001
unsorted-imports (I001)
Derived from the isort linter.
Fix is sometimes available.
What it does
De-duplicates, groups, and sorts imports based on the provided isort settings.
Why is this bad?
Consistency is good. Use a common convention for imports to make your code more readable and idiomatic.
Example
import pandas
import numpy as np
Use instead:
import numpy as np
import pandas
@cclauss Thanks for the help, i will try to resolve the error. Thank you once again for giving your time.
@cclauss i have used these for the imports and use the same order
import numpy as np
import random
from concurrent.futures import ThreadPoolExecutor
PEP8 has been the Python style guide for a long time. https://peps.python.org/pep-0008/#imports
random comes from the standard libraries so it should be imported before third-party libraries.
@cclauss can you please check my code as it is failing the test cases and don't know how to resolve, if possible for you. Thank you.
There are three Details buttons to the right of the three failing tests below. Click on each, read the error messages, and try to fix the code so those errors disappear.
genetic_algorithm/genetic_algorithm_optimization.py:1:1: I001 [*] Import block is un-sorted or un-formatted
import random
from concurrent.futures import ThreadPoolExecutor
import numpy as np
genetic_algorithm/genetic_algorithm_optimization.py:50:89: E501 Line too long (109 > 88)
>>> ga = GeneticAlgorithm(lambda x, y: x**2 + y**2,
... [(-10, 10), (-10, 10)], 10, 100, 0.1, 0.8, False)
Thank you @cclauss for your guidance, i will try to make necessary changes that you listed .
Thank you once again for your time.