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GA-Santa-Fe-trail-Partially-observable

An optimisation problem solved kinda!

This project tackles the santa Fe trail problem, but using genetic programming methods with in a partially observable environment such as:

  1. Mass extinction
  2. one-point cross over
  3. random, single point mutation
  4. Ranked cross over
  5. Random cross over
  6. Ranked selection
  7. Random selection

All implemented in C#