Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems

Contains tools and features, which can be used for an Exploratory Landscape Analysis (ELA) of single-objective continuous optimization problems. Those features are able to quantify rather complex properties, such as the global structure, separability, etc., of the optimization problems.



  • ela_local: -- made L-BFGS-B the default local optimizer -- use lower / upper bounds of the feature object as bounds of the L-BFGS-B -- local search algorithm used to maximize the problems (it's fixed now)
  • updated tests due to interface changes in testthat and checkmate


  • converted assert* into test* - due to update of checkmate


  • barrier trees: -- fixed a bug in feature computation: ratio of levels and nodes should only be taken for the maximum number of levels -- added number of leaves as a feature
  • replace createInitialDesign by createInitialSample as that name should be more intuitive and less misleading
  • createInitialSample stores the attributes lower and upper, which will be used by createFeatureObject


  • initial release to CRAN

Reference manual

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1.7 by Pascal Kerschke, 5 months ago


Report a bug at https://github.com/kerschke/flacco/issues

Browse source code at https://github.com/cran/flacco

Authors: Pascal Kerschke [aut, cre], Christian Hanster [ctb], Jan Dagefoerde [ctb]

Documentation:   PDF Manual  

Task views: Optimization and Mathematical Programming

BSD_2_clause + file LICENSE license

Imports BBmisc, checkmate, mlr

Suggests devtools, e1071, expm, ggplot2, lhs, MASS, Matrix, mda, mlbench, numDeriv, parallel, parallelMap, ParamHelpers, plotly, plyr, RANN, R.rsp, rpart, shape, shiny, smoof, testthat

See at CRAN