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:
Visualisations
Local optima networks
Exploiting problem structure
Hyperparameter optimisation
Feature selection search spaces
Informed search strategies
Neural architecture search spaces
Multi-objective fitness landscapes
Performance and failure prediction
Neural network loss landscape analysis
Landscape metrics for automated algorithm selection
Proposal of new fitness landscape features
Real-world applications of fitness landscape analysis
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 2023 website for details (https://gecco-2023.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 14, 2023
Notifications: May 3, 2023
Camera-ready: May 10, 2023
Author’s mandatory registration: May 10, 2023
Workshop date: July 15- 19, 2023 (TBC)
Sarah L. Thomson, University of Stirling, United Kingdom
Arnaud Liefooghe, Université de Lille, 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
Sarah L. Thomson, Nadarajen Veerapen, Katherine Malan, Arnaud Liefooghe, Sébastien Verel and Gabriela Ochoa
Computing Science and Mathematics, School of Natural Sciences, University of Stirling, Stirling, FK9 4LA, 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.