PISA: a platform and programming language independent interface for search algorithms
EMO'03 Proceedings of the 2nd international conference on Evolutionary multi-criterion optimization
ParadisEO-MOEO: a framework for evolutionary multi-objective optimization
EMO'07 Proceedings of the 4th international conference on Evolutionary multi-criterion optimization
Comparing results of 31 algorithms from the black-box optimization benchmarking BBOB-2009
Proceedings of the 12th annual conference companion on Genetic and evolutionary computation
Exploratory landscape analysis
Proceedings of the 13th annual conference on Genetic and evolutionary computation
Global characterization of the CEC 2005 fitness landscapes using fitness-distance analysis
EvoApplications'11 Proceedings of the 2011 international conference on Applications of evolutionary computation - Volume Part I
The cross-domain heuristic search challenge – an international research competition
LION'05 Proceedings of the 5th international conference on Learning and Intelligent Optimization
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In developing effective search and optimization algorithms, it is crucial that the specific features of the problem be taken into account. This observation has led to a great deal of research in how to abstract away trivial details in favor of the core concept that describes such features, with the goal of developing a more general theory of search algorithm performance. However, our efforts have not taken advantage of the great developments in data-driven machine learning that have arisen in the past decade or so. Rather, most work still starts from a clean slate and focuses on collecting and analysing only the limited landscape data that each researcher deems useful for each specific problem. In this position paper, I argue for the development of an open repository of this data -- open both in the sense of freely available to all researchers as well as in the sense of an "open-world" assumption concerning the types of data to be collected and analyzed. This paper discusses some of the important issues that would need to be resolved to build such a system in a way that would provide the most value for the field.