[GECCO CFP] GPEM Special Issue on the Tenth Anniversary of Geometric Semantic Genetic Programming

[Alberto Moraglio]

 ** apologies if you receive multiple copies of this CFP


*CFP: **Tenth Anniversary of Geometric Semantic Genetic Programming*

Special Issue of *Genetic Programming and Evolvable Machines*

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<http://static.springer.com/sgw/documents/1640916/application/pdf/GENP+-+CFP+-+Integrating+Numerical+Optimization+Methods+with+Genetic+Programming.pdf>l
CFP on the Journal's Springer site
<https://www.springer.com/journal/10710/updates/23957712>]





*Guest Editors *

·        Alberto Moraglio, University of Exeter, UK
email: a.moraglio at exeter.ac.uk

·        Krzysztof Krawiec, University of Poznan, Poland
email: krzysztof.krawiec at cs.put.poznan.pl

·        Colin Johnson, University of Nottingham, UK
email: Colin.Johnson at nottingham.ac.uk



*About this Issue*


Geometric Semantic Genetic Programming (GSGP) is a form of Genetic
Programming which is guaranteed to see a simple unimodal fitness landscape
with constant slope for any supervised machine learning task. It was
derived using a rigorous geometric theory of representations and search
operators combined with the notion of semantics of programs. In GSGP,
crossover and mutation have special semantic properties: offspring programs
are guaranteed to have behaviour intermediate to their parents’, and mutant
programs’ behaviour is guaranteed to be similar to that of the original
program. The theory of GSGP reveals a simple genotype-phenotype map between
syntax and semantics of programs, leads to simple syntactic implementations
of these semantic search operators, and provides a rigorous explanatory
framework for its superior runtime performance.

Since its inception in 2012 [1], GSGP has been rapidly and widely adopted
by the Genetic Programming community at large: it has been studied, both
theoretically and empirically, successfully adopted in many real-world
application domains, improved and extended in many ways, and led to a
plethora of research publications by many research groups worldwide.

We aim to celebrate the 10th anniversary of GSGP with a special issue that
consolidates and organises the ten years of work on GSGP by the research
community, and fosters further growth of this research area. We envision
that the special issue will cover a historical development of the field and
related areas, report on latest research as well as identify challenges and
reflections about future directions.

*References*


[1] Moraglio A., Krawiec K., Johnson C.G. (2012) Geometric Semantic Genetic
Programming. In: Coello C.A.C., Cutello V., Deb K., Forrest S., Nicosia G.,
Pavone M. (eds) Parallel Problem Solving from Nature - PPSN XII. PPSN 2012.
Lecture Notes in Computer Science, vol 7491. Springer, Berlin, Heidelberg



*Topics of Interest*


We would like to have three main types of submissions that help us, in
various ways, to recount the past, present and future of GSGP: papers
covering the past 10 years (surveys), papers covering the present (research
papers), and papers covering the future (white papers outlining challenges
and opportunities). Topics of interest may include but are not limited to:

●    Program domains (e.g., Boolean, Classification, Arithmetic, Programs,
Neural Networks)
●    Improved semantic operators, new semantic operators, approximate
semantic operators, self-adaptive semantic operators
●    Efficient implementations, parallel implementations, implementations
on dedicated hardware
●    Mathematical analysis and runtime analysis
●    Studies on generalisation and effect of noise
●    Real world applications and experimental benchmarking
●    Algorithmic extensions (e.g., hybridisation with local search,
multi-objective, diversity mechanisms)
●    New methods derived or inspired by GSGP



*Important Dates*

Submission deadline: 1 May 2023
Initial reviews: 15 June 2023
Resubmissions: 15 July 2023
Final notifications: 1 September 2023


*Submissions and Review Procedures*

Special Issues are handled in the normal way via the online Editorial
Manager system found at https://genp.edmgr.com. When uploading your
manuscript, select "Special Issue for the Tenth Anniversary of Geometric
Semantic Genetic Programming" in the Collection menu under the Details
tab. Special Issue articles should fulfil all the standard requirements of
any GPEM article. Authors should note that the same criteria apply to
articles in Special Issues as to regular articles.  All papers will undergo
the same rigorous GPEM review process. Please refer to the GPEM website for
detailed instructions on paper submission: http://www.springer.com/10710
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