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

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id caadria2020_035
authors Pereira, Inês, Belém, Catarina and Leitão, António
year 2020
title Escaping Evolution - A Study on Multi-Objective Optimization
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 295-304
doi https://doi.org/10.52842/conf.caadria.2020.1.295
summary The architectural field is currently experiencing a paradigm shift towards a more environmentally-aware design process. In this new paradigm, known as Performance-Based Design (PBD), building performance emerges as a guiding principle. Unfortunately, PBD entails several problems, for instance, building design is often associated with the simultaneous assessment of multiple performance criteria, which dramatically increases the complexity of the problem. In this vein, recent works claim that coupling optimization tools with PBD approaches allows for more efficient and optima-oriented strategies. This approach, known as Algorithmic Optimization, is based on the use of an optimization tool combined with a parametric model of a design to iteratively generate more efficient design alternatives. This paper focus on evaluating and comparing different classes of Multi-Objective Optimization (MOO) algorithms, namely, metaheuristics and model-based ones. In addition, in order to try to better understand the algorithms' suitability to different optimization problems, this research analyses two different MOO design problems.
keywords Performance-Based Design; Algorithmic Optimization; Multi-Objective Optimization
series CAADRIA
email
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100%; open Belém, C and Leit?o, A (2018) Find in CUMINCAD From Design to Optimized Design: An Algorithmic-Based Approach , Proceedings of the 36th eCAADe Conference, pp. 549-558

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100%; open Evins, R (2013) Find in CUMINCAD A Review of Computational Optimisation Methods a Applied to Sustainable Building Design , Renewable and Sustainable Energy Reviews, 22, pp. 230-245

100%; open Hamdy, M, Nguyen, AT and Hensen, JL (2016) Find in CUMINCAD Performance Comparison of Multi-objective Optimization Algorithms for Solving Nearly-Zero-Energy-Building Design Problems , Energy & Buildings, 121, pp. 57-71

100%; open Khazaii, J (2016) Find in CUMINCAD Advanced Decision Making for HVAC Engineers: Creating Energy Efficient Smart Buildings , Springer

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100%; open Pereira, I, Belém, C and Leit?o, A (2019) Find in CUMINCAD Optimizing Exhibition Spaces: A Multi-Objective Approach , Proceedings of the 37th eCAADe Conference, pp. 53-62

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100%; open Wolpert, D and Macready, W (1997) Find in CUMINCAD No Free Lunch Theorems for Optimization , IEEE Transactions on Evolutionary Computation, 1, pp. 67-82

100%; open Wortmann, T and Nannicini, G (2016) Find in CUMINCAD Black-Box Optimization Methods for Architectural Design , Proceedings of the CAADRIA Conference, pp. 177-186

100%; open Wortmann, T, Costa, A, Nannicini, G and Schroepfer, T (2015) Find in CUMINCAD Advantages of Surrogate Models for Architectural Design Optimization , Artificial Intelligence for Engineering Design Analysis and Manufacturing, 29, pp. 471-481

100%; open Wortmann, T (2017) Find in CUMINCAD Opossum: Introducing and Evaluating a Model-based Optimization Tool for Grasshopper , Proceedings of the CAADRIA Conference, pp. 283-292

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