Special Issue of Springer's Natural Computation - Visualisation in Evolutionary 
Computation

Scope and objectives

Visualisation is a crucial tool in evolutionary computation (EC), enabling 
vital insight and understanding about algorithm operation and problem 
landscapes, as well as enabling decision makers to explore solution sets 
comprising large numbers of conflicting objectives. In addition to visualising 
the solutions generated by an EC process, the processes themselves can be 
visualised to provide algorithm users with information about how successful 
their optimisers are. Advances in animation and the prevalence of digital 
displays, along with improvements in processing power, mean that it is possible 
to use visualisation methods to illustrate aspects of an algorithm’s 
performance in real time.

The focus of this special issue is to highlight the current state-of-the-art in 
visualisation research within evolutionary computation. In addition to 
including extensions of papers from GECCO’s “Visualisation in Genetic and 
Evolutionary Computation” workshop (VizGEC 2021) we are soliciting novel 
contributions from the wider community.

Topics

Topics of interest for this special issue include (but are not limited to) the 
following:

  *   visualisation of the evolution of a synthetic population;
  *   visualisation of algorithm operation;
  *   visualisation of problem landscapes;
  *   visualisation of multi-objective trade-off sets;
  *   the use of genetic and evolutionary techniques for visualising data;
  *   novel technologies for visualisation within genetic and evolutionary 
computation;
  *   visualisation to facilitate interactive evolution;
  *   visualisation in real-world applications.

Submission guidelines

Submitted manuscripts must not have been published or simultaneously submitted 
elsewhere. For extended papers, at least 30% additional material beyond that in 
the published proceedings is expected. Each paper (extended or not) will 
receive thorough peer reviews and evaluation. Papers will be selected based on 
their originality, scientific and technical quality of the contributions, 
organisation and presentation and relevance to the special issue. When 
submitting your manuscript please select “SI: VizGEC” as the article type. In 
order to ensure timely publication manuscripts must be submitted before 19 
December 2021.

Please ensure you read the Guide for Authors before writing your manuscript. 
Manuscripts should be formatted according to the journal's formatting 
instructions. The Guide for Authors and link to submit your manuscript is on 
the journal’s home page, https://www.springer.com/journal/11047.

Important dates

  *   Paper submission due: 19 December 2021
  *   First-round acceptance decision notification: 3 March 2022
  *   First revision submission due: 1 May 2022
  *   Second-round acceptance decision notification: 1 June 2022
  *   Notification of final decision: 1 August 2022

Guest editors

Dr David Walker
University of Plymouth, UK
Email: david.wal...@plymouth.ac.uk

Prof. Richard Everson
University of Exeter, UK
Email: r.m.ever...@exeter.ac.uk

Prof. Neil Vaughan
University of Exeter, UK
Email: n.vaug...@exeter.ac.uk

Dr Rui Wang
Uber AI, USA
Email: ruiw...@uber.com

Dr David Walker
Lecturer in Computer Science
UG Computing Programmes Manager
University of Plymouth
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