On the Success Rate of Crossover Operators for Genetic Programming with Offspring Selection

23 Sep 2013Gabriel KronbergerStephan WinklerMichael AffenzellerAndreas BehamStefan Wagner

Genetic programming is a powerful heuristic search technique that is used for a number of real world applications to solve among others regression, classification, and time-series forecasting problems. A lot of progress towards a theoretic description of genetic programming in form of schema theorems has been made, but the internal dynamics and success factors of genetic programming are still not fully understood... (read more)

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