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: 

• Evolvability and searchability characterisation 

• Exploiting problem structure 

• Exploratory landscape analysis 

• Fitness landscape analysis 

• Fitness landscape visualisation 

• Fitness landscape theory 

• Grey-box optimisation 

• Informed search strategies 

• Local optima networks 

• Multi-objective fitness landscapes 

• Performance and failure prediction 

Previous editions of the workshop:

• 2nd edition — GECCO 2017

• 1st edition — PPSN 2016