Genetic Programming and Evolvable Machines - Call for Papers: Special Issue on the Tenth Anniversary of Geometric Semantic Genetic Programming

CALL FOR PAPERS:
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 

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

GUEST EDITOR DETAILS:
●    Alberto Moraglio, University of Exeter, UK 
email: a.moraglio@exeter.ac.uk
●    Krzysztof Krawiec, University of Poznan, Poland 
email: krzysztof.krawiec@cs.put.poznan.pl
●    Colin Johnson, University of Nottingham, UK
email: Colin.Johnson@nottingham.ac.uk