Generating optimal topologies in structural design using a homogenization method
Computer Methods in Applied Mechanics and Engineering
Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing
Cost Optimization of Structures: Fuzzy Logic, Genetic Algorithms, and Parallel Computing
Multicriteria optimization of paneled building envelopes using ant colony optimization
EG-ICE'06 Proceedings of the 13th international conference on Intelligent Computing in Engineering and Architecture
Advanced Engineering Informatics
Advanced Engineering Informatics
An automated stabilisation method for spatial to structural design transformations
Advanced Engineering Informatics
Systems modelling for sustainable building design
Advanced Engineering Informatics
Comparative study of multiple criteria decision making methods for building design
Advanced Engineering Informatics
Computationally unifying urban masterplanning
Proceedings of the ACM International Conference on Computing Frontiers
Automated design studies: Topology versus One-Step Evolutionary Structural Optimisation
Advanced Engineering Informatics
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The potential of Multidisciplinary Design Optimization (MDO) is not sufficiently exploited in current building design practice. I argue that this field of engineering requires a special setup of the optimization model that considers the uniqueness of buildings, and allows the designer to interact with the optimization in order to assess qualities of aesthetics, expression, and building function. For this reason, the approach applies a performance optimization based on resource consumption extended by preference criteria. Furthermore, building design-specific components serve for the decomposition and an interactive way of working. The component scheme follows the Industry Foundation Classes (IFC) as a common Building Information Model (BIM) standard in order to allow a seamless integration into an interactive CAD working process in the future. A representative case study dealing with a frame-based hall design serves to illustrate these considerations. An N-Square diagram or Design Structure Matrix (DSM) represents the system of components with the disciplinary dependencies and workflow of the analysis. The application of a Multiobjective Genetic Algorithm (MOGA) leads to demonstrable results.