dfmcontrol
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Contents:

  • Examples
  • Quickstart
  • API

Contents:

  • Genetic Algorithm
  • Log
  • Population
  • Selection
  • crossing
  • Mutation
  • Mathematical test functions
  • Helper
dfmcontrol
  • Welcome to KTH_dfm_control’s documentation!
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Welcome to KTH_dfm_control’s documentation!

Examples can be found in <examples>, and a quick start guide can be found in <quickstart>.

Contents:

  • Examples
    • Optimizing a 1d test function
    • Optimizing Ackley’s function for 2 variables
    • Optimizing the 39 dimensional Styblinski-Tang function
  • Quickstart
    • 1. Install the package
    • 2. Run a simple optimization algorithm.
  • API
    • Contact

Contents:

Contents:

  • Genetic Algorithm
    • Summary:
    • General usage
    • Methods
  • Log
    • Methods
  • Population
    • Population initialisation methods
    • Differences between Python and C methods
    • Python methods for population initialisation
    • C methods for population initialisation
  • Selection
    • Roulette Wheel Selection
    • Tournament Selection
    • Rank Selection
    • Boltzmann Selection
    • Selection methods
  • crossing
    • Implementation of the crossing methods
    • Differences between Python and C implementations
    • Crossing methods
  • Mutation
    • Mutation methods
  • Mathematical test functions
    • Mathmatical test functions
    • Minima lookup table
  • Helper
    • floating point conversion routines
    • Plotting routines
    • Various functions
    • When using C
    • Known errors
    • Speed-up of the C library
    • Helper functions in Python:
    • Helper functions in C:

Indices and tables

  • Index

  • Module Index

  • Search Page

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© Copyright 2023, Adrian van Eik. Revision 0fab4473.

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