Ting Hu (editor) - Genetic Programming: 24th European Conference, EuroGP 2021, Held as Part of EvoStar 2021, Virtual Event, April 7–9, 2021, Proceedings (Lecture Notes in Computer Science, 12691)

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The 24th European Conference on Genetic Programming (EuroGP) took place online, due to the COVID-19 pandemic restrictions, between 79 April, 2021.

Genetic Programming (GP) is an evolutionary computation branch 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 number of theoretical and practical contributions are available by consulting the GP bibliography.

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 2021 received 27 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 papers presented in this volume, 11 were accepted for full-length oral presentation (40% acceptance rate) and 6 for a short talk. 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 operators for variants of GP algorithms, as well as exploring GP applications to the optimisation of machine learning methods and the evolution of complex combinational logic circuits.