Genetic Programming

Genetic Programming

The 26th European Conference on Genetic Programming (EuroGP 2023) took place at
the Brno University of Technology (BUT), Brno, Czech Republic, April 12-14, 2023.
The conference was held in a hybrid model to allow both in-person and online
attendance. Genetic Programming (GP) is a unique branch of evolutionary
computation that has been developed to automatically solve design problems, in
particular computer program design, without requiring the user to know or specify
the form or structure of the solution in advance. It uses the principles of
Darwinian evolution to approach problems in the synthesis, improvement, and
repair of computer programs. The universality of computer programs, and their
importance in so many areas of our lives, means that the automation of these
tasks is an exceptionally ambitious challenge with far-reaching implications. It
has attracted a very large number of researchers and a vast amount of theoretical
and practical contributions are available by consulting the GP bibliography1.
Since the first EuroGP event in Paris in 1998, EuroGP has been the only
conference exclusively devoted to the evolutionary design of computer programs
and other computational structures. In fact, EuroGP represents the single largest
venue at which GP results are published. It plays an important role in the
success of the field, by serving as a forum for expressing new ideas, meeting
fellow researchers, and initiating collaborations. It attracts scholars from all
over the world. In a friendly and welcoming atmosphere authors present the latest
advances in the field, also presenting GP-based solutions to complex real-world
problems. EuroGP 2023 received 38 submissions from around the world. The papers
underwent a rigorous double-blind peer review process, each being reviewed by
multiple members of an international Program Committee. Among the manuscripts
presented in this volume, 14 were accepted for full-length oral presentations
(38% acceptance rate) and 8 as short talks. In 2023, papers submitted to EuroGP
could also be assigned to the "Evolutionary Machine Learning Track". Among the 38
submissions, the authors of 9 papers indicated their papers fit the track, with 4
accepted for full-length oral presentation and one as short talks. Authors of
both categories of papers also had the opportunity to present their work in
poster sessions to promote the exchange of ideas in a carefree manner. The wide
range of topics in this volume reflects the current state of research in the
field. The collection of papers covers interesting topics including developing
new variants of GP algorithms for both optimization and machine learning problems
as well as exploring GP to address complex real-world problems