GeneticProgrammingCoevolutionLib | general library in Java for genetic programming
kandi X-RAY | GeneticProgrammingCoevolutionLib Summary
kandi X-RAY | GeneticProgrammingCoevolutionLib Summary
GeneticProgrammingCoevolutionLib is a Java library. GeneticProgrammingCoevolutionLib has no bugs, it has no vulnerabilities and it has low support. However GeneticProgrammingCoevolutionLib build file is not available. You can download it from GitHub.
A general library in Java for genetic programming. Includes features such as spatial/non-spatial coevolution. Implements GPTrees as generally as possible. For now, GPTree Nodes always return Integers for simplicity. May expand to have "strongly typed GP Trees".
A general library in Java for genetic programming. Includes features such as spatial/non-spatial coevolution. Implements GPTrees as generally as possible. For now, GPTree Nodes always return Integers for simplicity. May expand to have "strongly typed GP Trees".
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Quality
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GeneticProgrammingCoevolutionLib has a low active ecosystem.
It has 3 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of GeneticProgrammingCoevolutionLib is current.
Quality
GeneticProgrammingCoevolutionLib has no bugs reported.
Security
GeneticProgrammingCoevolutionLib has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
GeneticProgrammingCoevolutionLib does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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GeneticProgrammingCoevolutionLib releases are not available. You will need to build from source code and install.
GeneticProgrammingCoevolutionLib 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 GeneticProgrammingCoevolutionLib and discovered the below as its top functions. This is intended to give you an instant insight into GeneticProgrammingCoevolutionLib implemented functionality, and help decide if they suit your requirements.
- Demonstrates how to use the GPX algorithm
- Returns a string representation of the function graph
- Returns a string representation of the graph
- Get information about the last generation
- Prints the statistics on the data point
- Gets the value on the given x coordinate
- Computes the fitness of this game
- Plays a single argument
- Compute and return the fitness of this game
- Computes the fitness of this opponent
- Interprets the score of a game
- Running the game
- The main function
- Plays the game
- Get a move from a board
- Returns the result for a game
- Parses a string into a GPN tree
- Interprets the game state
- Sets the newest generation
- Interprets the board state
- Smoothes the next generation
- Test program
- Computes the current player s fitness
- Expand the next generation
- Compute the fitness on the tree
- Computes the fitness of the game
Get all kandi verified functions for this library.
GeneticProgrammingCoevolutionLib Key Features
No Key Features are available at this moment for GeneticProgrammingCoevolutionLib.
GeneticProgrammingCoevolutionLib Examples and Code Snippets
No Code Snippets are available at this moment for GeneticProgrammingCoevolutionLib.
Community Discussions
No Community Discussions are available at this moment for GeneticProgrammingCoevolutionLib.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install GeneticProgrammingCoevolutionLib
You can download it from GitHub.
You can use GeneticProgrammingCoevolutionLib 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 GeneticProgrammingCoevolutionLib 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 .
You can use GeneticProgrammingCoevolutionLib 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 GeneticProgrammingCoevolutionLib 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 .
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