NaturalSelection

by Elco- Java Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | NaturalSelection Summary

NaturalSelection is a Java library. NaturalSelection has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However NaturalSelection build file is not available. You can download it from GitHub.

NaturalSelection

Support

Quality

Security

License

Reuse

Support

NaturalSelection has a low active ecosystem.

It has 25 star(s) with 13 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

NaturalSelection has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of NaturalSelection is current.

Quality

NaturalSelection has 0 bugs and 0 code smells.

Security

NaturalSelection has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

NaturalSelection code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

NaturalSelection is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

NaturalSelection releases are not available. You will need to build from source code and install.

NaturalSelection has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed NaturalSelection and discovered the below as its top functions. This is intended to give you an instant insight into NaturalSelection implemented functionality, and help decide if they suit your requirements.

Paint the graph
Apply the logic to the particles
Draw a graph
Draw the scene
Main method
Runs the UI thread

Get all kandi verified functions for this library.

NaturalSelection Key Features

No Key Features are available at this moment for NaturalSelection.

NaturalSelection Examples and Code Snippets

No Code Snippets are available at this moment for NaturalSelection.

Community Discussions

Trending Discussions on NaturalSelection

Creating a genetic algorithm

QUESTION

Creating a genetic algorithm

Asked 2021-Feb-19 at 05:50

Im trying to recreate this code: https://github.com/Code-Bullet/Smart-Dots-Genetic-Algorithm-Tutorial/tree/master/BestTutorialEver , but in python, and it doesn't work, it keeps mutating the best dot and every generation starts with less dots. Here is the code (i use pygame for graphics):

Brain class:

...

ANSWER

Answered 2021-Feb-19 at 05:39

I did not try the project you mentioned. You may try PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms. It is open-source where you can find the code at GitHub.

It is simple to use which allows you to control the crossover, mutation, and parent selection operators in an easy way. You can also control many parameters of the genetic algorithm using PyGAD.

PyGAD also works with a user-defined fitness function so you can adapt it to a wide-range of problems.

After installing PyGAD (pip install pygad), here is a simple example to get started that tries to find the best values for W1, W2, and W3 that satisfies the following equation:

44 = 4xW_1 - 2xW_2 + 1.2xW_3

Source https://stackoverflow.com/questions/65863290

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install NaturalSelection

You can download it from GitHub.
You can use NaturalSelection like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the NaturalSelection component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: