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

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id caadria2020_273
authors Shuyan, Zhu and Chenlong, Ma
year 2020
title An Informed Method - Visualization for Multi-objective Optimization in Conceptual Design Phase
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. 425-434
summary The relationship of different performance objects may be very complicated that designers can't guarantee the improvement of one object don't affect the others. Multi-objective optimization algorithms provide Pareto optimal design solutions, but because of the nonlinearity introduced by the objective functions, the relationships in the objective space do not extend to the decision variable space and vice versa. Based on the design of building blocks and west facade in a practical project, the paper put forward a visualized method for optimization process of building performance, and combine the multi-objective optimization algorithm with the visualization of fitness landscape, so that architects can easily obtain the knowledge of complex relationships between building performance and building parameters. It is more conducive to obtain a design scheme which can balance the requirements of appearance and performance at the same time, and achieve the ultimate goal of improving the efficiency of design.
keywords Visualization; Multi-objective optimization; Fitness landscape
series CAADRIA
email 124464315@qq.com
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