Ant algorithms for discrete optimization
Artificial Life
From Natural to Artificial Swarm Intelligence
From Natural to Artificial Swarm Intelligence
Advanced Engineering Informatics
Advanced Engineering Informatics
Pareto multi-criteria decision making
Advanced Engineering Informatics
Component-oriented decomposition for multidisciplinary design optimization in building design
Advanced Engineering Informatics
Proceedings of the 2012 Symposium on Simulation for Architecture and Urban Design
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
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Definition of building envelopes is guided by a large number of influences including structural, aesthetic, lighting, energy and acoustic considerations. There is a need to increase design understanding of the tradeoffs involved to create optimized building envelope designs considering multiple viewpoints. This paper presents a proof-of-concept computational design and optimization tool aimed at facilitating the design of optimized panelized building envelopes for lighting performance and cost criteria. A multicriteria ant colony optimization (MACO) method using Pareto filtering is applied. The software Radiance is used to calculate lighting performance. Initial results are presented for a benchmark and project-motivated scenario, a media center in Paris, and show that the method is capable of generating Pareto optimal design archives for up to 11 independent performance criteria. A preliminary GUI for visualizing the Pareto design archives and selecting designs is shown. The results illustrate that for desired values of lighting performance in different internal spaces, there is often a range of possible panel configurations and costs.