Abstract Traditional Genetic Programming (GP) searches the space of functions/programs by
using search operators that manipulate their syntactic representation, regardless of their …

We investigate the effects of semantically-based crossover operators in genetic
programming, applied to real-valued symbolic regression problems. We propose two new …

Bloat can be defined as an excess of code growth without a corresponding improvement in
fitness. This problem has been one of the most intensively studied subjects since the …

Several methods to incorporate semantic awareness in genetic programming have been
proposed in the last few years. These methods cover fundamental parts of the evolutionary …

Empirical modeling, which is a process of develo** a mathematical model of a system
from experimental data, has attracted many researchers due to its wide applicability. Finding …

It is approximately 50 years since the first computational experiments were conducted in
what has become known today as the field of Genetic Programming (GP), twenty years since …

Concrete is a composite construction material made primarily with aggregate, cement, and
water. In addition to the basic ingredients used in conventional concrete, high-performance …

The field of natural computing has been the focus of a substantial research effort in recent
decades. One particular strand of this concerns the development of computational …

In genetic programming, a search algorithm is expected to produce a program that achieves
the desired final computation state (desired output). To reach that state, an executing …

Moraglio et al. have recently introduced new genetic operators for genetic programming,
called geometric semantic operators. These operators induce a unimodal fitness landscape …