Darwin's rules
   population
   reproduction
   heredity (like breeds like, like a data structure)
   variation (mutation, xover=crossover)
   selection (select for survival, selecting for mating)

read chapter 1

EC is about optimization
simple stochastic optimization first

HOW EC WORKS
example 1:
     You try solve a problem
     1. you try different things
     2. get something works... sort of
     3. modify idea... get a better one
     4. imagine you have a crew of people working on this
         share ideas

     escape room -> goal: escape (solve the problems)
     what is "good"

example 2:
   Papermill example
   math people -> model with 150 parameters
   150 parameters -> representation
   5% improvement on a billion dollar business.
   not the best answer, didn't know if we got the best or not

sum this up:
   "Evolutionary Computation is well crafted random search"
   problems are structured or searchable

small changes are not lethal
nature evolves to be evolable
nature has no plan or big goal except survival -> viable offspring

EC a Black Box problem solver