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supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id ecaade2015_175
authors Schaffranek, Richard and Harald, Trapp
year 2015
title Automated Generation of Heuristics for Design
source Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 2, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 483-492
doi https://doi.org/10.52842/conf.ecaade.2015.2.483
summary The crisis of architecture is a crisis of form, therefore new approaches and definitions are necessary. The children´s game of Hide-and-Seek seems extremely relevant to learn the complex interplay of social interaction and space. What if its hiding places were to be designed by an architect? Is there a method to relate the rules of the game to the number, design and layout of its obstacles in such a way as to create a successful game?A possibility to tackle this problem is the use of metaheuristic solvers. But even for the simple game of Hide-and-Seek, their use is confined to cases with a very limited set of obstacles and players, since the time needed to calculate the fitness function increases rapidly. To overcome this we suggest the use of statistical methods to develop a heuristic fitness function based on properties which can be directly computed from the values of the genotype. The resulting function makes is possible to solve the given problem using a metaheuristic solver not only for the simple cases with 3 or 4, but also for those with n obstacles.
wos WOS:000372316000055
series eCAADe
email
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