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 search algorithms and their understanding. 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 seeks to bring together researchers interested in landscape analysis and in exploiting problem structure to develop informed search strategies. The workshop provides a unique opportunity to present existing work, propose new ideas or put forward position statements.
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
Sep 17
2016
Sep 18
2016
Draft paper submission deadline
Registration deadline
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