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Evolutionary Algorithms in Go
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README.md

Evo

Evo is a framework for implementing evolutionary algorithms in Go.

go get github.com/cbarrick/evo

Documentation

https://godoc.org/github.com/cbarrick/evo

Status & Contributing

Evo is a general framework for developing genetic algorithms and more. It began life in fall 2015 as I studied evolutionary algorithms as an undergrad.

Contributions are welcome! I am currently a student and inexperienced maintainer, so please bear with me as I learn. The focus of the project thus far has been on the API design and less on performance. I am particularly interested in hearing about use-cases that are not well covered and success stories of where Evo excels. Testing, code reviews, and performance audits are always welcome and needed.

Examples

You can browse example problems in the example subpackage. The examples are maintained as a development tool rather than to provide optimal solutions to the problems they tackle. Reading the examples should give you a good idea of how easy it is to write code with Evo.

License (LGPL)

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more details.

You should have received a copy of the GNU Lesser General Public License along with this program. If not, see http://www.gnu.org/licenses/.

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