OPTION

Genetic and Evolutionary Computation Conference Companion (GECCO Companion), pp. 239–240

Abstract

Many platforms for benchmarking optimization algorithms offer users the possibility of sharing their experimental data with the purpose of promoting reproducible and reusable research. However, different platforms use different data models and formats, which drastically inhibits identification of relevant data sets, their interpretation, and their interoperability. Consequently, a semantically rich, ontology-based, machine-readable data model is highly desired.

Authors 2

1. Diederick Vermetten Aachen Leiden Institute for Advanced Computer Science

   Leiden University

   Affiliation as printed

   Leiden Institute for Advanced Computer Science, Leiden, The Netherlands

2. Carola Doerr

   Sorbonne Université

   Affiliation as printed

   Sorbonne Université, Paris, France