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Evolutionary multi-criteria optimization for building layout planning: Exemplary application based on the PSSA framework

  • 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.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.zeige mehrzeige weniger

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Metadaten
Dokumentart:Artikel (Wissenschaftlicher)
Verfasserangaben:Jun.Prof. Dr. Reinhard KönigORCiDGND, Matthias Standfest, Prof. Dr. Gerhard SchmittGND
DOI (Zitierlink):https://doi.org/10.25643/bauhaus-universitaet.2513Zitierlink
URN (Zitierlink):https://nbn-resolving.org/urn:nbn:de:gbv:wim2-20160121-25139Zitierlink
URL:http://cumincad.scix.net/cgi-bin/works/Show?_id=ecaade2014_019&sort=DEFAULT&search=series%3aecaade year%3a2014&hits=132
Titel des übergeordneten Werkes (Englisch):32nd eCAADe Conference - Volume 2
Herausgeber: Emine Mine Thompson
Sprache:Englisch
Datum der Veröffentlichung (online):20.01.2016
Jahr der Erstveröffentlichung:2014
Datum der Freischaltung:21.01.2016
Institute und Partnereinrichtugen:Fakultät Architektur und Urbanistik / Junior-Professur Computational Architecture
Erste Seite:567
Letzte Seite:574
GND-Schlagwort:Architektur
DDC-Klassifikation:000 Informatik, Informationswissenschaft, allgemeine Werke
BKL-Klassifikation:56 Bauwesen / 56.90 Architektur: Sonstiges
Lizenz (Deutsch):License Logo Creative Commons 4.0 - Namensnennung (CC BY 4.0)