@article{Haunert2011b,
  abstract = {Decades of research on map generalisation have resulted in an abundance of heuristic algorithms, evaluation of the performance of which is vital for choosing the most suitable for a certain application. Proper evaluation methods are, however, missing. The author proposes an approach based on optimisation methods adopted from the field of operations research.},
  added-at = {2011-11-07T12:01:01.000+0100},
  author = {Haunert, J.-H.},
  biburl = {https://www.bibsonomy.org/bibtex/2cab8b8ecb94709dfaa9e9024bf6b2ca9/haunert},
  interhash = {c06be8db4b210efec57d84584686c934},
  intrahash = {cab8b8ecb94709dfaa9e9024bf6b2ca9},
  journal = {GIM International},
  keywords = {aggregation map_generalization quality optimization myown integer_programming},
  number = 1,
  pages = {31--33},
  timestamp = {2011-11-07T12:01:01.000+0100},
  title = {Map Generalisation -- Quality Benchmarks through Optimisation},
  url = {http://www.gim-international.com/issues/articles/id1644-Map_Generalisation.html},
  volume = 25,
  year = 2011
}