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richard-churchman
cc0a2bee21
Included open-source Accord.net library code natively to the solution given the deprecated state of that project. Accord.net will be supported inside Jube for own needs (such as upgrading to .Net 7+). Accord.net libraries modified to compile to .Net 6. Modified Accord.net libraries to better support Newtonsoft Json.net serialisation. Included annotations in the Accord.net libraries to house important dependency statistics. Serialised json can be used independently of Jube to recall a Neural Network. Removal of Binary Serializer totally as a precursor to the projects support of .Net 7+. Extensive bug fixing in crucial functions of Neural Network training and recall. While this part of the system remains in Alpha, it is substantially more fit for purpose.
88 lines
2.8 KiB
C#
88 lines
2.8 KiB
C#
// AForge Genetic Library
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// AForge.NET framework
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// http://www.aforgenet.com/framework/
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//
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// Copyright © Andrew Kirillov, 2006-2009
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// [email protected]
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//
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namespace Accord.Genetic
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{
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using System;
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/// <summary>
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/// Chromosome interface.
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/// </summary>
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///
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/// <remarks><para>The interfase should be implemented by all classes, which implement
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/// particular chromosome type.</para></remarks>
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///
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public interface IChromosome : IComparable
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{
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/// <summary>
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/// Chromosome's fitness value.
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/// </summary>
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///
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/// <remarks><para>The fitness value represents chromosome's usefulness - the greater the
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/// value, the more useful it is.</para></remarks>
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///
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double Fitness { get; }
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/// <summary>
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/// Generate random chromosome value.
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/// </summary>
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///
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/// <remarks><para>Regenerates chromosome's value using random number generator.</para>
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/// </remarks>
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///
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void Generate( );
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/// <summary>
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/// Create new random chromosome with same parameters (factory method).
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/// </summary>
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///
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/// <remarks><para>The method creates new chromosome of the same type, but randomly
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/// initialized. The method is useful as factory method for those classes, which work
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/// with chromosome's interface, but not with particular chromosome class.</para></remarks>
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///
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IChromosome CreateNew( );
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/// <summary>
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/// Clone the chromosome.
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/// </summary>
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///
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/// <remarks><para>The method clones the chromosome returning the exact copy of it.</para>
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/// </remarks>
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///
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IChromosome Clone( );
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/// <summary>
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/// Mutation operator.
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/// </summary>
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///
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/// <remarks><para>The method performs chromosome's mutation, changing its part randomly.</para></remarks>
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///
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void Mutate( );
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/// <summary>
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/// Crossover operator.
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/// </summary>
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///
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/// <param name="pair">Pair chromosome to crossover with.</param>
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///
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/// <remarks><para>The method performs crossover between two chromosomes – interchanging some parts of chromosomes.</para></remarks>
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///
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void Crossover( IChromosome pair );
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/// <summary>
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/// Evaluate chromosome with specified fitness function.
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/// </summary>
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///
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/// <param name="function">Fitness function to use for evaluation of the chromosome.</param>
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///
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/// <remarks><para>Calculates chromosome's fitness using the specifed fitness function.</para></remarks>
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///
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void Evaluate( IFitnessFunction function );
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}
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}
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