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Right now, the genetic algorithm is implemented as a method under Family class.
But actually the following seems more suitable:
Genetic algorithm will have an individual, a crowd (which are objects to be inherited by Network and Family classes, respectively) a mutation that can act on that individual object, a random number generator, and a mutator.
A genetic algorithm can be coded as a wrapper of these objects, and Probe's can be used accordingly.
The text was updated successfully, but these errors were encountered:
This is partially done. GA has class definitions and a machine that is independent of the object in question. The objects should be inherited from GA classes Elements and Ensemble.
Right now, the genetic algorithm is implemented as a method under Family class.
But actually the following seems more suitable:
Genetic algorithm will have an individual, a crowd (which are objects to be inherited by Network and Family classes, respectively) a mutation that can act on that individual object, a random number generator, and a mutator.
A genetic algorithm can be coded as a wrapper of these objects, and Probe's can be used accordingly.
The text was updated successfully, but these errors were encountered: