Pyevolve | This is the new official Pyevolve repository

by perone Python Version: Current License: No License

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

kandi X-RAY | Pyevolve Summary

Pyevolve is a Python library. Pyevolve has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This is the new official Pyevolve repository. The documentation (html rendered) is still hosted at sourceforge.net at

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Quality

Security

License

Reuse

Support

Pyevolve has a low active ecosystem.

It has 301 star(s) with 98 fork(s). There are 30 watchers for this library.

It had no major release in the last 6 months.

There are 35 open issues and 4 have been closed. On average issues are closed in 1244 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Pyevolve is current.

Quality

Pyevolve has no bugs reported.

Security

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

License

Pyevolve 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.

Reuse

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

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

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

Perform a GTree crossover on a single point
Get parent
Return the root node
Returns the depth of a node
Exchange the individuals from the server
Get the network compression level
Returns the number of individuals
Returns the number of replacements
Construct a GTree
Create a new GTree
Generate a G2D listMutatorAllelele
Generate a random G1D list mutator
Crossfill crossover of a list
Generate a random G1D list
Generate a G2DListMutator
Generate a G1D list mutator
This function returns a list of G1DX
Performs a GTPM mutation operation
Random G2D list mutator
Generate a random G2D list
Perform SNP crossover on a single point
Random G1D ListMutator
Generates a random G2D list
Performs a GTree sub - tree substitution on a genome
Generate G1D list
Performs a GTree crossover

Get all kandi verified functions for this library.

Pyevolve Key Features

No Key Features are available at this moment for Pyevolve.

Pyevolve Examples and Code Snippets

No Code Snippets are available at this moment for Pyevolve.

Community Discussions

Trending Discussions on Pyevolve

Pyevolve with multi processing using more RAM with each GA generation

QUESTION

Pyevolve with multi processing using more RAM with each GA generation

Asked 2018-Aug-29 at 12:29

I am using pyevolve to run a GA using multi processing. The code runs fine but uses more memory with every new generation of GA. The code is creating new jobs for each generation while the previous ones are idle while reserving RAM.It finally crashes after around 10 generations. How do I correct this?[Ram Usage][1][1]: https://i.stack.imgur.com/knCC0.jpg

...

ANSWER

Answered 2018-Aug-29 at 12:29

I came across this problem a while back, and after much research I found the answer,

You have to modify the GPopulation.py in the library source code,

--Add the following two commands:

Source https://stackoverflow.com/questions/49076397

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

Vulnerabilities

No vulnerabilities reported

Install Pyevolve

You can download it from GitHub.
You can use Pyevolve like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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