Software

Software that is (or has been) actively (co-)developed by members of our group:

• aslib-r:
  R interface for the ASlib
• flacco:
  R package for the computation of ELA features with interactive dashboard
• mlr:
  R package for machine learning in R (predecessor of mlr3)
• mogsa:
  R package implementing the MOGSA algorithm
• moPLOT:
  R package for the visualization of continuous, multi-objective optimization problems with an interactive dashboard
• openml-r:
  R interface for OpenML
• ParamHelpers:

  R package providing (helper) functions for better description and processing of (hyper-) parameters in the context of black-box optimization or configuration of machine learning methods (predecessor of paradox)

• pflacco:
  Python version of flacco (see above)
• smoof:
  R package with popular test functions from the optimization community
• salesperson:
  Interface to various TSP solvers in R and computation of instance features
• TSP Feature Normalization Dashboard:
  Interactive dashboard for investigating the impact of feature normalization
• tspgen:
  R package for generating TSP instances created by sequential application of problem-specific mutation operators