GA - INTERFACE HELP

evolution strategy parameters

• strategy choice
  Select a strategy for the evolution process. The strategy decides from where next generations parents are selected.
  elite: selection from parents and children of this generation
  canonical: selection from children of this generation
  
• parents scroller
  Select the number of parents.
• children scroller
  Select the number of children.
• #crossover scroller
  Select 1 to m-point crossover.
• 'cp (crossover-probability) per individual' scroller
  Children are generated from parents using crossover and mutation. Select the crossover-probability per individual. 1.0: For 100% of the children to be generated use crossover. 0.0: Don't use crossover.
• 'use mutation' toggle
  Children are generated from parents using crossover and mutation. The 'use mutation' toggle enables mutation using parameters 'mp per indiviudal', 'mp per parameter' and 'max m-bits per p.'.
• 'mp (mutation-probability) per individual' scroller
  Select the mutation-probability per individual: 1.0: For 100% of the children to be generated use mutation; 0.0: Don't use mutation;
• 'mp (mutation-probability) per parameter' scroller
  Select the mutation-probability for a single individuals parameters. 1.0: Mutate 100% of the parameters; 0.0: Don't mutate any parameter;
• 'max m-bits per p.' (maximum number of mutated bits per parameter) scroller
  Select the maximum number of bits that may be mutated in a single parameter.

end of evolution process

• 'stop at generation' scroller
  Select the maximum generation. The evolution process stops when this generation is reached. It may be continued by increasing the value.
• 'optimum' toggle button
  Stop the evolution process when the optimum is reached. Note, that you may specify a function that returns the optimal fitness value for the phenotypes of a specific proplem. If you do so, this button will be sensitive. However, for most of the problems, you will not know the optimum.

control buttons

• 'quality-graph' button
  Opens a window displaying the graph of quality values. Pressing the button again will close the window.
• 'edit' button
  Opens a window to create/edit a phenotype (however, only if an editor window is provided with the problem implementation). The evolution process can be restarted with the corresponding genotype. You will (should) find more information following a link within the proble's main page.
• 'start' button
  Starts the evolution process.
• 'stop' button
  Stops the evolution process.
• 'continue' button
  Continues a stopped evolution process.

phenotype display

Displays the best indivual of the current generation, together with the generation number and its fitness (smaller fitness values are better, as we always look for the minimum).