rmeindl/jenetics.net

.Net port of Jenetics - Java Genetic Algorithm Library

Jenetics.Net

Jenetics.Net is a port of the popular Java Genetic Algorithm framework Jenetics to .NET Core.

Documentation

Currently the documentation is not ported, but because of the nearly identical structure, look into the Jenetics (javadoc) and the user manual (pdf).

Requirements

Build time

• .Net Core 2.0: The .Net Core 2.0 SDK must be installed.

Build Jenetics.Net

Check out the master branch from Github.

$ git clone https://github.com/rmeindl/jenetics.net.git <builddir>

Jenetics.Net is currently not using anything thing else for building besides .Net Core projects.

Go to src/core/Jenetics for building the library

$ dotnet build

Go to src/core/Jenetics.Tests for running the xUnit Tests

$ dotnet xunit

All artifacts can be found in bin\Debug\netcoreapp2.0.

Go to src/examples/<example> for running on of the examples, e.g. src/examples/HelloWorld

$ dotnet run

If you want to publish an example including the .Net Core runtime as self-contained application, define the runtime

$ dotnet publish -r linux-x64 --self-contained

or

$ dotnet publish -r win-x64 --self-contained

All artifacts can be found in bin\Debug\netcoreapp2.0\linux-x64\publish or bin\Debug\netcoreapp2.0\win-x64\publish.

Example

Hello World (Ones counting)

The minimum evolution Engine setup needs a genotype factory, Factory<Genotype<TGene>>, and a fitness Function. The Genotype implements the Factory interface and can therefore be used as prototype for creating the initial Population and for creating new random Genotypes.

using System;
using System.Linq;
using Jenetics.Engine;

namespace Jenetics.Example
{
    public static class HelloWorld
    {
        // 2.) Definition of the fitness function.
        private static int Eval(Genotype<BitGene> gt)
        {
            return gt.GetChromosome().As<BitChromosome>().BitCount();
        }

        public static void Main()
        {
            // 1.) Define the genotype (factory) suitable
            //     for the problem.
            Genotype<BitGene> F()
            {
                return Genotype.Of(BitChromosome.Of(10, 0.5));
            }

            // 3.) Create the execution environment.
            var engine = Engine.Engine.Builder(Eval, F).Build();

            // 4.) Start the execution (evolution) and
            //     collect the result.
            var result = engine.Stream().Take(100).ToBestGenotype();

            Console.WriteLine("Hello World:\n" + result);
        }
    }
}

License

The library is licensed under the Apache License, Version 2.0.

Copyright 2007-2017 Franz Wilhelmstötter

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

Release notes

All Release Notes