TY  - JOUR
A1  - König, Reinhard
A1  - Knecht, Katja
T1  - Comparing two evolutionary algorithm based methods for layout generation: Dense packing versus subdivision
JF  - Artificial Intelligence for Engineering Design, Analysis and Manufacturing
N2  - We present and compare two evolutionary algorithm based methods for rectangular architectural layout generation: dense packing and subdivision algorithms.We analyze the characteristics of the two methods on the basis of three floor plan sce- narios. Our analyses include the speed with which solutions are generated, the reliability with which optimal solutions can be found, and the number of different solutions that can be found overall. In a following step, we discuss the methods with respect to their different user interaction capabilities. In addition, we show that each method has the capability to generate more complex L-shaped layouts. Finally,we conclude that neither of the methods is superior but that each of them is suitable for use in distinct application scenarios because of its different properties.
KW  - Architektur
KW  - Informatik
KW  - Kremlas
Y1  - 2014
UR  - http://www.journals.cambridge.org/abstract_S0890060414000237
N1  - Paper is only available from the journal home page.
SP  - 285
EP  - 299
ER  - 
TY  - JOUR
A1  - König, Reinhard
T1  - Urban Design Synthesis for Building Layouts : Urban Design Synthesis for Building Layouts based on Evolutionary Many-Criteria Optimization
JF  - International Journal of Architectural Computing
N2  - 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. In this situation ideal solutions are not always found because they are either not sought or the problems are regarded as being too complex for human capabilities.To improve this situation we propose complementing traditional design approaches with a design synthesis process based on evolutionary many-criteria optimization methods that can fulfill formalizable design requirements. In addition we show how self-organizing maps can be used to visualize many-dimensional solution spaces in an easily analyzable and comprehensible form.The system is presented using an urban planning scenario for the placement of building volumes.
KW  - Design synthesis
KW  - Optimization
KW  - Evolutionary algorithm
KW  - Multi-criteria
Y1  - 2015
UR  - http://journals.sagepub.com/doi/10.1260/1478-0771.13.3-4.257
U6  - http://dx.doi.org/10.1260/1478-0771.13.3-4.257
N1  - Originaldokument kann leider nicht bereitgestellt werden, da der Verlag die Verwertungsrechte hat. Der Link führt zum Artikel.
SP  - 257
EP  - 270
ER  -