Abstract functions and lifetime learning in genetic programming for symbolic regression

Raja Muhammad Atif Azad, Conor Ryan · 2010

Typically, an individual in Genetic Programming (GP) can not make the most of its genetic inheritance. Once it is mapped, its fitness is immediately evaluated and it survives only until the genetic operators and its competitors eliminate it. Thus, the key to survival is to be born strong.

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