Development of solutions in an automatic way using genetic programming and evolutionary algorithms is powerful. Assuming random starting point and following evolution principles we are capable to solve very complex problems. Question is what if we know some sub-optimal solutions and the evolution process will get so-called good start? The general purpose of the project is to get purely empirical answers for such question.
Features
- R
- rgp
- Genetic Programming
- Eugenics
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