| id |
caadria2019_172 |
| authors |
G. Belém, Catarina and Leitão, António |
| year |
2019 |
| title |
Conflicting Goals in Architecture - A study on Multi-Objective Optimisation |
| doi |
https://doi.org/10.52842/conf.caadria.2019.1.453
|
| source |
M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 453-462 |
| summary |
Sustainability and economic factors are driving architectural practice towards more efficient designs. The application of optimization to the design process becomes essential to reduce the environmental footprint of buildings, as well as to reduce their costs. Building design requirements tend to be conflicting, involving the optimization of multiple goals simultaneously, which often translates to different compromises among the goals. Ideally, to make more informed and intelligent decisions, the architect should be given a set of design variations representing a heterogeneous sample of the optimal compromises one can achieve. In this paper, we discuss different approaches to find such compromises and we focus on multi-objective optimization algorithms that produce the required design variants, applying them in the context of an architectural case study. |
| keywords |
Multi-Objective Optimization; Pareto Optimization |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (3,221,364 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:50 |
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