@techreport{KoenigTapiasSchmitt,
  author    = {K{\"o}nig, Reinhard and Tapias, Estefania and Schmitt, Gerhard},
  title     = {New Methods in Urban Analysis and Simulation: Documentation of the teaching results from the spring semester 2014},
  doi       = {10.25643/bauhaus-universitaet.2515},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160121-25154},
  pages     = {62},
  abstract  = {Documentation of the teaching results from the spring semester 2014 at ETH Zurich},
  subject      = {St{\"a}dtebau},
  language  = {en}
}
@article{KoenigStandfestSchmitt,
  author    = {K{\"o}nig, Reinhard and Standfest, Matthias and Schmitt, Gerhard},
  title     = {Evolutionary multi-criteria optimization for building layout planning: Exemplary application based on the PSSA framework},
  series = {32nd eCAADe Conference - Volume 2},
  journal   = {32nd eCAADe Conference - Volume 2},
  editor    = {Thompson, Emine Mine},
  doi       = {10.25643/bauhaus-universitaet.2513},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160121-25139},
  pages     = {567 -- 574},
  abstract  = {When working on urban planning projects there are usually multiple aspects to consider. Often these aspects are contradictory and it is not possible to choose one over the other; instead, they each need to be fulfilled as well as possible. Planners typically draw on past experience when subjectively prioritising which aspects to consider with which degree of importance for their planning concepts. This practice, although understandable, places power and authority in the hands of people who have varying degrees of expertise, which means that the best possible solution is not always found, because it is either not sought or the problem is regarded as being too complex for human capabilities. To improve this situation, the project presented here shows the potential of multi-criteria optimisation algorithms using the example of a new housing layout for an urban block. In addition it is shown, how Self-Organizing-Maps can be used to visualise multi-dimensional solution spaces in an easy analysable and comprehensible form.},
  subject      = {Architektur},
  language  = {en}
}
@inproceedings{KoenigSchneiderHijazietal.,
  author    = {K{\"o}nig, Reinhard and Schneider, Sven and Hijazi, Ihab Hamzi and Li, Xin and Bielik, Martin and Schmitt, Gerhard and Donath, Dirk},
  title     = {Using geo statistical analysis to detect similarities in emotional responses of urban walkers to urban space},
  series = {Sixth International Conference on Design Computing and Cognition (DCC14)},
  booktitle = {Sixth International Conference on Design Computing and Cognition (DCC14)},
  doi       = {10.25643/bauhaus-universitaet.2514},
  url       = {http://nbn-resolving.de/urn:nbn:de:gbv:wim2-20160121-25146},
  pages     = {1},
  abstract  = {Using geo statistical analysis to detect similarities in emotional responses of urban walkers to urban space},
  subject      = {St{\"a}dtebau},
  language  = {en}
}