abstract = "Genetic programming is an evolutionary algorithm,
which allows performing symbolic regression --- the
important task of obtaining the analytical form of a
model by the data, produced by the model. One of the
known problems of genetic programming is expressions
bloating that results in ineffectively long
expressions. To prevent bloating, symbolic
simplification of expression is used. We introduce a
new approach to simplification in genetic programming,
making it a uniform part of the evolutionary process.
To do that, we develop a genetic programming on the
basis of transformation rules, similarly to computer
algebra systems. We compare our approach with existed
solution, and prove its adequacy and effectiveness.",
notes = "Ural Federal University, Yekaterinburg, Lenina str.