Fractional Genetic Programming for a More Gradual Evolution

TitleFractional Genetic Programming for a More Gradual Evolution
Publication TypeConference Paper
Year of Publication2013
AuthorsRataj A
EditorSzczuka M., Czaja L., Kacprzak M.
Conference NameProceedings of the 22nd International Workshop on Concurrency, Specification and Programming
AbstractWe 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.