Fitness landscape analysis and visualisation can provide significant insights into problem instances and algorithm behaviour. The aim of the workshop is to encourage and promote the use of landscape analysis to improve the understanding, the design and, eventually, the performance of search algorithms. Examples include landscape analysis as a tool to inform the design of algorithms, landscape metrics for online adaptation of search strategies, mining landscape information to predict instance hardness and algorithm runtime.
The workshop will focus on, but not be limited to, topics such as:
Exploiting problem structure
Informed search strategies
Performance and failure prediction
Proposal of new landscape features
Applications of landscape analysis to real-world problems
Previous editions of the workshop:
We invite submissions of the following types of papers:
research papers (maximum number of pages: 8, excluding references)
software libraries/packages (suggested number of pages: 4 / maximum number of pages: 8, excluding references)
position papers (maximum number of pages: 2)
Submissions of early and in-progress work are encouraged.
Papers should be in ACM (Association for Computing Machinery) format, see GECCO 2024 website for details (https://gecco-2024.sigevo.org/Paper-Submission-Instructions).
Accepted submissions will be presented during the workshop and will appear in the GECCO Companion proceedings.
Paper submission through Linklings: https://ssl.linklings.net/conferences/gecco/
Submissions *do not need* to be anonymised; review will be single-blind
Submission deadline: April 8th 2024
Notifications: May 3rd 2024
Camera-ready: May 10th 2024
Workshop date: July 14- 18, 2024 (precise date/time TBC)
Sarah L. Thomson, Edinburgh Napier University, United Kingdom
Arnaud Liefooghe, Université du Littoral Côte d'Opale, France
Katherine Malan, University of South Africa, South Africa
Gabriela Ochoa, University of Stirling, United Kingdom
Nadarajen Veerapen, Université de Lille, France
Sébastien Verel, Université du Littoral Côte d'Opale, France
And others (TBC)
Sarah L. Thomson, Nadarajen Veerapen, Katherine Malan, Arnaud Liefooghe, Sébastien Verel and Gabriela Ochoa
Computer Science subject group, Edinburgh Napier University, Edinburgh, Scotland.
Université de Lille, CRIStAL, 59655 Villeneuve d'Ascq Cedex, France.
Department of Decision Sciences, University of South Africa, Pretoria, South Africa.
Université du Littoral Côte d'Opale, LISIC, 62228 Calais, France.
Computing Science and Mathematics, School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, Scotland.