Welcome to Pyevolve documentation !

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“I love fools experiments. I am always making them.“

- Charles R. Darwin

This is the documentation of the new Pyevolve release 0.5. Since the version 0.4, Pyevolve has changed quite, many new features was added and many bugs was fixed, this documentation describes these changes, the new API and new features.

Pyevolve was developed to be a complete genetic algorithm framework written in pure python.

See some plot screenshots on the Graph Types and Screenshots section.

You can download this documentation in LaTeX.

Contents

• Introduction
  • Requirements
  • Downloads
    • Windows
    • Linux
    • Examples and Source code
  • Installation
  • GA Features
  • Genetic Algorithms Literature
    • Books
    • Sites
  • Glossary / Concepts
• Get Started - Tutorial
  • First Example
    • Final source code
  • The Interactive Mode
    • Inspecting the population
    • The exposed modules and objects
  • Extending Pyevolve
    • Creating the representation
    • Creating the initializator
    • Creating the mutator
    • Creating the crossover
  • Snippets
    • Using two mutators at same time
    • Using one allele to all list (chromosome) elements (genes)
    • Changing the selection method
    • Doing the same evolution on with random seed
    • Writing the evolution statistics to a CSV File
    • Use the HTTP Post to dump GA statistics
    • Using two or more evaluation function
• Modules
  • pyevolve – the main pyevolve namespace
  • General Modules
    • Consts – constants module
      • General constants
      • Selection methods constants (Selectors)
      • Scaling scheme constants (Scaling)
      • Population constants (GPopulation.GPopulation)
      • 1D Binary String Defaults (G1DBinaryString.G1DBinaryString)
      • 1D List chromosome constants (G1DList.G1DList)
      • 2D List chromosome constants (G2DList.G2DList)
      • GA Engine constants (GSimpleGA.GSimpleGA)
      • DB Adapters constants (DBAdapters)
    • Util – utility module
    • Interaction – interaction module
    • DBAdapters – database adapters for statistics
    • FunctionSlot – function slots module
    • Statistics – statistical structure module
  • Genetic Algorithm Core Modules
    • GSimpleGA – the genetic algorithm by itself
    • GPopulation – the population module
  • Genetic Operators Modules
    • Mutators – mutation methods module
    • Crossovers – crossover methdos module
    • Initializators – initialization methods module
    • Selectors – selection methods module
    • Scaling – scaling schemes module
  • Chromosomes/Representation Modules
    • GenomeBase – the genomes base module
    • GAllele – the genome alleles module
    • G1DBinaryString – the classical binary string chromosome
    • G1DList – the 1D list chromosome
    • G2DList – the 2D list chromosome
• Graphical Analysis - Plots
  • Graphical Plotting Tool Options
  • Usage
  • Usage Examples
  • Graph Types and Screenshots
    • Error bars graph (raw scores) / “-1” option
    • Error bars graph (fitness scores) / “-2” option
    • Max/min/avg/std. dev. graph (raw scores) / “-3” option
    • Max/min/avg graph (fitness scores) / “-4” option
    • Min/max difference graph, raw and fitness scores / “-5” option
    • Compare best raw score of two or more evolutions / “-6” option
    • Compare best fitness score of two or more evolutions / “-7” option
    • Heat map of population raw score distribution / “-8” option
    • Heat map of population fitness score distribution / “-9” option
• Examples
  • Example 1 - Simple example
  • Example 2 - Real numbers, Gaussian Mutator
  • Example 3 - Schaffer F6 deceptive function
  • Example 4 - Using Sigma truncation scaling
  • Example 5 - Step callback function
  • Example 6 - The DB Adapters
  • Example 7 - The Rastringin function
  • Example 8 - The Gaussian Integer Mutator
  • Example 9 - The 2D List genome
  • Example 10 - The 1D Binary String
  • Example 11 - The use of alleles
  • Example 12 - The Travelling Salesman Problem (TSP)
  • Example 13 - The sphere function
  • Example 14 - The Ackley function
  • Example 15 - The Rosenbrock function
• F.A.Q.
• License
• Credits
• Contact the author
• Donate

Index

• Index
• Module Index

This documentation was updated on May 18, 2009.