The 24th European Conference on Genetic Programming

EuroGP 2021


Mathematical Optimization



EuroGP is the premier annual conference on Genetic Programming (GP), the oldest and the only meeting worldwide devoted specifically to this branch of evolutionary computation. It is always a high-quality, enjoyable, friendly event, attracting participants from all continents, and offering excellent opportunities for networking, informal contact, and exchange of ideas with fellow researchers. It will feature a mixture of oral presentations and poster sessions and invited keynote speakers.
EuroGP is featured in the conference ranking database CORE (http://portal.core.edu.au/conf-ranks/481/).
EvoStar is a leading international event devoted to evolutionary computing, comprising four conferences, EuroGP, EvoApplications, EvoCOP, and EvoMUSART. The low-cost registration includes access to all of them, as well as daily lunch and the conference reception and banquet.
Topics to be covered include, but are not limited to:
Innovative applications of GP, Theoretical developments, GP performance and behaviour, Fitness landscape analysis of GP, Algorithms, representations and operators for GP, Search-based software engineering, Genetic improvement programming, Evolutionary design, Evolutionary robotics, Tree-based and Linear GP, Graph-based and Grammar-based GP, Evolvable hardware, Self-reproducing programs, Multi-population GP, Multi-objective GP, Parallel GP, Probabilistic GP, Object-orientated GP, Hybrid architectures including GP, Coevolution and modularity in GP, Semantics in GP, Unconventional GP, Automatic software maintenance, Evolutionary inductive programming, Evolution of automata or machines.
High-quality submissions not exceeding 16 pages in LNCS style are now solicited. Accepted papers will be published by Springer-Verlag in the Lecture Notes in Computer Science series.
The highest quality papers may also be invited to submit extensions for publication in a special issue of the journal Genetic Programming and Evolvable Machines (GPEM).