  Benchmarks are a useful tool for empirical performance comparisons. However,
one of the main shortcomings of existing benchmarks is that it remains largely
unclear how they relate to real-world problems. What does an algorithm's
performance on a benchmark say about its potential on a specific real-world
problem? This work aims to identify properties of real-world problems through a
questionnaire on real-world single-, multi-, and many-objective optimization
problems. Based on initial responses, a few challenges that have to be
considered in the design of realistic benchmarks can already be identified. A
key point for future work is to gather more responses to the questionnaire to
allow an analysis of common combinations of properties. In turn, such common
combinations can then be included in improved benchmark suites. To gather more
data, the reader is invited to participate in the questionnaire at:
https://tinyurl.com/opt-survey
