<div dir="ltr"><div class="gmail_quote"><div dir="ltr" class="gmail_attr"><br></div><div dir="ltr"> <span style="font-family:Calibri,sans-serif;font-size:11pt">** apologies if you receive multiple copies of this CFP</span><p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif">
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Anniversary of Geometric Semantic Genetic Programming</b></p>

<p style="margin:0cm 0cm 0.0001pt;line-height:14.65pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman",serif"><span><span style="font-size:11pt;font-family:Verdana,sans-serif">Special</span></span><span style="font-size:11pt;font-family:Verdana,sans-serif"> <span>Issue</span> of <i>Genetic
Programming and Evolvable Machines</i></span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(33,33,33)"></span></p>

<p style="margin:0cm 0cm 0.0001pt;line-height:14.65pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman",serif"><span style="font-size:8.5pt;font-family:Verdana,sans-serif;color:black"> </span><span style="font-size:8.5pt;font-family:"inherit",serif;color:black;background:rgb(243,243,243)">[</span><a href="http://static.springer.com/sgw/documents/1640916/application/pdf/GENP+-+CFP+-+Integrating+Numerical+Optimization+Methods+with+Genetic+Programming.pdf" style="color:blue" target="_blank"><span style="font-size:8.5pt;font-family:"inherit",serif;color:rgb(17,85,204);background:rgb(243,243,243)">Ful</span></a><a href="https://www.springer.com/journal/10710/updates/23957712" style="color:blue" target="_blank"><span style="font-size:8.5pt;font-family:Verdana,sans-serif;color:rgb(17,85,204);background:rgb(243,243,243)">l CFP on the Journal's Springer site</span></a><span style="font-size:8.5pt;font-family:Verdana,sans-serif;color:black;background:rgb(243,243,243)">]</span><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(33,33,33)"></span></p>

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<p style="margin:0cm 0cm 0.0001pt 36pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Symbol">·<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;font-kerning:auto;font-feature-settings:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">       
</span></span>Alberto Moraglio, University of Exeter, UK <br>
email: <a href="mailto:a.moraglio@exeter.ac.uk" style="color:blue" target="_blank">a.moraglio@exeter.ac.uk</a></p>

<p style="margin:0cm 0cm 0.0001pt 36pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Symbol">·<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;font-kerning:auto;font-feature-settings:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">       
</span></span>Krzysztof Krawiec, University of Poznan,
Poland <br>
email: <a href="mailto:krzysztof.krawiec@cs.put.poznan.pl" style="color:blue" target="_blank">krzysztof.krawiec@cs.put.poznan.pl</a></p>

<p style="margin:0cm 0cm 0.0001pt 36pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-family:Symbol">·<span style="font-variant-numeric:normal;font-variant-east-asian:normal;font-variant-alternates:normal;font-kerning:auto;font-feature-settings:normal;font-stretch:normal;font-size:7pt;line-height:normal;font-family:"Times New Roman"">       
</span></span>Colin Johnson, University of Nottingham, UK<br>
email: <a href="mailto:Colin.Johnson@nottingham.ac.uk" style="color:blue" target="_blank">Colin.Johnson@nottingham.ac.uk</a></p>

<p style="margin:0cm 0cm 8pt 36pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"> </p>

<p style="margin:0cm 0cm 0.0001pt;line-height:14.65pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman",serif"><u><span style="font-size:8.5pt;font-family:Verdana,sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">About this <span>Issue</span></span></u><span style="font-size:11pt;font-family:Calibri,sans-serif;color:rgb(33,33,33)"></span></p>

<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:13.5pt;line-height:107%;font-family:"Segoe UI",sans-serif;color:rgb(51,51,51)"><br>
</span>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.</p>

<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif">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. </p>

<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif">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.<br>
<br>
</p>

<p style="margin:0cm 0cm 0.0001pt;line-height:14.65pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman",serif"><u><span style="font-size:8.5pt;font-family:Verdana,sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">References</span></u></p>

<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><br>
[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</p>

<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"> </p>

<p style="margin:0cm 0cm 0.0001pt;line-height:14.65pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:12pt;font-family:"Times New Roman",serif"><u><span style="font-size:8.5pt;font-family:Verdana,sans-serif;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Topics of Interest</span></u></p>

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

<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><u><span style="font-size:8.5pt;line-height:107%;font-family:Verdana,sans-serif;color:rgb(33,33,33);background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial"><span style="text-decoration-line:none"> </span></span></u></p>

<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif"><u><span style="font-size:8.5pt;line-height:107%;font-family:Verdana,sans-serif;color:rgb(33,33,33);background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial">Important Dates</span></u> </p>

<p class="MsoNormal" style="margin:0cm 0cm 8pt;line-height:107%;font-size:11pt;font-family:Calibri,sans-serif">Submission deadline: 1 May 2023<br>
Initial reviews: 15 June 2023<br>
Resubmissions: 15 July 2023<br>
Final notifications: 1 September 2023</p>

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</span><u><span style="font-size:8.5pt;font-family:Verdana,sans-serif">Submissions and Review Procedures</span></u><span style="font-size:8.5pt;font-family:Verdana,sans-serif;color:black;background:rgb(243,243,243)"><br>
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<p class="MsoNormal" style="margin:0cm 0cm 0.0001pt;line-height:14.65pt;background-image:initial;background-position:initial;background-size:initial;background-repeat:initial;background-origin:initial;background-clip:initial;font-size:11pt;font-family:Calibri,sans-serif"><span style="font-size:8.5pt;font-family:Verdana,sans-serif">Special Issues are handled
in the normal way via the online Editorial Manager system found at</span><span style="font-size:8.5pt;font-family:Verdana,sans-serif;color:black;background:rgb(243,243,243)"> </span><a href="https://genp.edmgr.com/" style="color:blue" target="_blank"><span style="font-size:8.5pt;font-family:"inherit",serif;color:rgb(17,85,204);background:rgb(243,243,243)">https://genp.edmgr.com</span></a><span style="font-size:8.5pt;font-family:"inherit",serif;color:black;background:rgb(243,243,243)">. </span><span style="font-size:8.5pt;font-family:Verdana,sans-serif">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:</span><span style="font-size:8.5pt;font-family:Verdana,sans-serif;color:black;background:rgb(243,243,243)"> </span><a href="http://www.springer.com/10710" style="color:blue" target="_blank"><span style="font-size:8.5pt;font-family:"inherit",serif;color:rgb(17,85,204);background:rgb(243,243,243)">http://www.springer.com/10710</span></a><span style="font-size:8.5pt;font-family:"inherit",serif;color:black;background:rgb(243,243,243)"><br>
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