Dear Colleague(s),

  *** Apologies for cross-posting ***

We would like to invite you to submit papers to EuroGP 2022:
THE 25th EUROPEAN CONFERENCE ON GENETIC PROGRAMMING
which will be held on April 20-22, 2022

Please visit http://www.evostar.org/2022/eurogp 
<http://www.evostar.org/2022/eurogp>/ for more details.

*** Important dates ***
Submission deadline: 1 November 2021
EvoStar Conference: 20-22 April, 2022

Submission link: https://easychair.org/conferences/?conf=evo2022

*** 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.

***the EvoML joint track ***
Please visit: http://www.evostar.org/2022/eml/

This joint track on Evolutionary Machine Learning (EML) will provide a 
specialized forum of discussion and exchange of information for 
researchers interested in exploring approaches that combine nature and 
nurture, with the long-term goal of evolving Artificial Intelligence (AI).

In response to the growing interest in the area, and consequent advances 
of the state-of-the-art, the special session covers theoretical and 
practical advances on the combination of Evolutionary Computation (EC) 
and Machine Learning (ML) techniques.

As a joint EuroGP+EvoAPPS track, authors should decide whether their 
paper will be treated within EvoApplications or EuroGP at the submission 
time.

*** Paper submission ***
High-quality submissions not exceeding 16 pages (including references) 
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).

*** Organization ***
Program Chairs:
Eric Medvet, University of Trieste, Italy
Gisele Pappa, Universidade Federal de Minas Gerais, Brazil

Publication Chair:
Bing Xue, Victoria University of Wellington

*** Program Committee ***
(To be announced)

For further information please visit http://www.evostar.org/2022/eurogp/

Eric Medvet, Gisele Pappa, and Bing Xue
EuroGP Chairs

-- 
----------------------------------------------
Dr Bing Xue (she/her), MIEEE, MACM
Professor | Ahorangi
School of Engineering and Computer Science | Te Kura Mātai Pūkaha, Pūrorohiko
Victoria University of Wellington | Te Herenga Waka
New Zealand | Aotearoa
Phone: +64 4 463 5542
Homepage: https://homepages.ecs.vuw.ac.nz/~xuebing/index.html
----------------------------------------------

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