@inproceedings{bibcite_14964,
  author = {Artur Rataj and M. Szczuka and L. Czaja and M. Kacprzak},
  title = {Fractional Genetic Programming for a More Gradual Evolution},
  abstract = {We propose a softening of a genetic program by the so-called fractional instructions. Thanks to their adjustable strengths, a new instruction can be gradually introduced to a program, and the other instructions may gradually adapt to the new member. In this way, a transformation of one candidate into another can be continuos. Such an approach makes it possible to take advantage of properties of real-coded genetic algorithms, but in the realm of genetic programming. We show, that the approach can be successfully applied to a precise generalisation of functions, including those exhibiting periodicity.},
  year = {2013},
  journal = {Proceedings of the 22nd International Workshop on Concurrency, Specification and Programming},
  pages = {371{\textendash}382},
  note = {22th International Workshop on Concurrency, Specification and Programming, Warsaw, Poland, September 25-27, 2013},
  language = {eng},
}