Iterative Refi nement through Simulation: Exploring trade-off s between speed and accuracy

Janssen, Patrick; Kaushik, Vignesh

doi:10.52842/conf.ecaade.2012.1.555

Cited by 4 publications

(1 citation statement)

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“…There are many incompatible software programs and data formats. Various approaches have been proposed to overcome or bypass this obstacle to seamless collaboration between design team members (Flager et al, 2008;Janssen et al, 2012;Toth et al, 2012). 2.…”

Section: Challengesmentioning

confidence: 99%

Proceedings of the 31st International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe) [Volume 2]

2013

eCAADe Proceedings

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Section: Challengesmentioning

confidence: 99%

Proceedings of the 31st International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe) [Volume 2]

2013

eCAADe Proceedings

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Decision Chain Encoding: Evolutionary Design Optimization with Complex Constraints

Janssen

Kaushik

2013

Evolutionary and Biologically Inspired Music, Sound, Art and Design

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Dexen: A scalable and extensible platform for experimenting with population-based design exploration algorithms

Janssen

2015

AIEDAM

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A platform for experimenting with population-based design exploration algorithms is presented, called Dexen. The platform has been developed in order to address the needs of two distinct groups of users loosely labeled as researchers and designers. Whereas the researchers group focuses on creating and testing customized toolkits, the designers group focuses on applying these toolkits in the design process. A platform is required that is scalable and extensible: scalable to allow computationally demanding population-based exploration algorithms to be executed on distributed hardware within reasonable time frames, and extensible to allow researchers to easily implement their own customized toolkits consisting of specialized algorithms and user interfaces. In order to address these requirements, a three-tier client–server system architecture has been used that separates data storage, domain logic, and presentation. This separation allows customized toolkits to be created for Dexen without requiring any changes to the data or logic tiers. In the logic tier, Dexen uses a programming model in which tasks only communicate through data objects stored in a key-value database. The paper ends with a case study experiment that uses a multicriteria evolutionary algorithm toolkit to explore alternative configurations for the massing and façade design of a large residential development. The parametric models for developing and evaluating design variants are described in detail. A population of design variants are evolved, a number of which are selected for further analysis. The case study demonstrates how evolutionary exploration methods can be applied to a complex design scenario without requiring any scripting.

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Iterative Refi nement through Simulation: Exploring trade-off s between speed and accuracy

Cited by 4 publications

References 0 publications

Proceedings of the 31st International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe) [Volume 2]

Proceedings of the 31st International Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe) [Volume 2]

Decision Chain Encoding: Evolutionary Design Optimization with Complex Constraints

Dexen: A scalable and extensible platform for experimenting with population-based design exploration algorithms

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