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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.
117 lines
3.8 KiB
C#
117 lines
3.8 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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/// Chromosomes' base class.
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/// </summary>
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///
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/// <remarks><para>The base class provides implementation of some <see cref="IChromosome"/>
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/// methods and properties, which are identical to all types of chromosomes.</para></remarks>
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///
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public abstract class ChromosomeBase : IChromosome
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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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protected double fitness = 0;
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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>Fitness value (usefulness) of the chromosome calculate by calling
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/// <see cref="Evaluate"/> method. The greater the value, the more useful the chromosome.
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/// </para></remarks>
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///
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public double Fitness
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{
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get { return fitness; }
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}
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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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public abstract 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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public abstract 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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public abstract 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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public abstract 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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public abstract 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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public void Evaluate( IFitnessFunction function )
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{
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fitness = function.Evaluate( this );
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}
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/// <summary>
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/// Compare two chromosomes.
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/// </summary>
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///
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/// <param name="o">Binary chromosome to compare to.</param>
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///
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/// <returns>Returns comparison result, which equals to 0 if fitness values
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/// of both chromosomes are equal, 1 if fitness value of this chromosome
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/// is less than fitness value of the specified chromosome, -1 otherwise.</returns>
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///
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public int CompareTo( object o )
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{
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double f = ( (ChromosomeBase) o ).fitness;
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return ( fitness == f ) ? 0 : ( fitness < f ) ? 1 : -1;
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}
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}
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}
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