Crossover is an important operation in the Genetic Algorithms (GA). Crossover operation is
responsible for producing offspring for the next generation so as to explore a much wider …

Behavioral Program Synthesis with Genetic Programming Page 1 Studies in Computational
Intelligence 618 Krzysztof Krawiec Behavioral Program Synthesis with Genetic Programming …

Constraints form an essential part of most practical search and optimization problems, and
are usually assumed to be given. However, there are plausible real-world scenarios in …

For all supervised learning problems, where the quality of solutions is measured by a
distance between target and output values (error), geometric semantic operators of genetic …

The semantic geometric crossover (SGX) proposed by Moraglio et al. has achieved very
promising results and received great attention from researchers, but has a significant …

Genetic programming (GP) is one of the commonly used tools for symbolic regression. In the
field of GP, the use of semantics and an external library of subexpressions for designing …

Program semantics is a promising recent research thread in Genetic Programming (GP).
Over a dozen semantic-aware search, selection, and initialization operators for GP have …

Mathematical programming (MP) models are common in optimization of real-world
processes. Models are usually built by optimization experts in an iterative manner: an …

Semantic GP is a promising branch of GP that introduces semantic awareness during
genetic evolution to improve various aspects of GP. This paper presents a new Semantic GP …

In this paper, a novel operator, semantic cluster operator, was developed to overcome the
low convergence performance of genetic programming in symbolic regression. The main …