Evolutionary optimization

2 main questions

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  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.

Example: Rocket launch

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https://bleuje.github.io/p5js-myprojects/rocket-optimization/index.html

Example: identification of atomic tomb location candidates

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