by   Elco- Java Version: Current License: MIT

kandi X-RAY | NaturalSelection Summary

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.


            kandi-support 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.

            kandi-Quality Quality

              NaturalSelection has 0 bugs and 0 code smells.

            kandi-Security 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.

            kandi-License 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.

            kandi-Reuse 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
            Asked 2021-Feb-19 at 05:50

            Im trying to recreate this code: , 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:



            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


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


            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 For Gradle installation, please refer .


            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 .
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            gh repo clone Elco-/NaturalSelection

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