Important dates
Submission deadline: 1 November 2021
EvoStar Conference: 20-22 April, 2022
EuroGP
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
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
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 GP and Linear GP, Graph-based GP 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.
Paper submission
High-quality submissions not exceeding 16 pages in Springer LNCS format 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).
For further information please visit http://www.evostar.org.