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• X Evolutionary optimization is_parent of 2 main questions (ID: 11870 :: weight 10) :: TEXTREC ::
  
  
  1. How to represent a solution to my problem ? How does the genome/chromosome/value vector look like ?
  
  
  2. How to evaluate the fitness ? = What is the fitness function ?
  
  
  
  if You can answer these questions, You can construct an evolutionary algorithm. the rest (hyper-parameters etc.) is just "tuning".
  
  
  NOTE: The fitness landscape of Your problem has to be at least little bit structured.
• X Evolutionary optimization is_parent of Example: Rocket launch (ID: 11868 :: weight 9) :: TEXTREC ::
  https://bleuje.github.io/p5js-myprojects/rocket-optimization/index.html
• X Evolutionary optimization is_parent of Example: identification of atomic tomb location candidates (ID: 11869 :: weight 1) :: TEXTREC ::

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