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- the genetic algorithm
- 1 - create a population of individuals
- 2 - evaluate their potential as a solution - fitness
- 3 - select the more fit to spawn a new generation
- 4 - goto 2
- further work fine tuning the algorithm
- use your favorite selection rules
- use your favorite parameter values
- use a distributed/parallel version
- make what we have accessible to others
- others can reproduce results
- introducing concepts before introducing tedium
- easy integration of new (well-designed) problems