Understanding the problem space in single-objective numerical optimization using exploratory landscape analysis

摘要

In benchmarking theory, creating a comprehensive and uniformly distributed set of problems is a crucial first step to designing a good benchmark. However, this step is also one of the hardest, as it can be difficult to determine how to evaluate the quality of the chosen problem set.