CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

PDF papers
References
id caadria2024_373
authors Fan, Zhaoxiang, Tang, Shuoning and Liu, Mengxuan
year 2024
title Integrating Genetic Algorithms and RBF Neural Networks in the Early Design Stage of Gymnasium for Multi-Objective Optimization Framework
doi https://doi.org/10.52842/conf.caadria.2024.1.505
source Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 505–514
summary The early design phase of the gymnasium's enclosing interfaces directly affects the indoor daylighting and thermal environmental performance. The optimization framework proposed in this study aims to simultaneously balance and optimize conflicting objectives, including the maximum daylight factor (DF), minimum daylight glare index (DGP), and minimum solar radiation (RS) for gymnasium. This approach aims to maximize daylighting performance in hot summer regions while avoiding glare, reducing energy consumption, and ultimately enhancing both daylight comfort and energy efficiency during the sports facility design process. Using the SPEA-2 genetic algorithm, the study explored the Pareto front solutions for three different skylight patterns and established a predictive model for design results based on a Radial Basis Function (RBF) neural network. Compared to traditional Multi-Objective Optimization (MOO) frameworks, this optimization method improves computational efficiency and provides more intelligent decision support for the early-stage design of gymnasiums.
keywords Multi-Objective Optimization (MOO), Building Performance Simulation (BPS), Parametric Design (PD), Predictive Model.
series CAADRIA
email liumengxuan93@163.com
full text file.pdf (1,902,337 bytes)
references Content-type: text/plain
Details Citation Select
100%; open Bale, J., & Vertinsky, P. (Eds.). (2004) Find in CUMINCAD Sites of sport: Space, place and experience , Routledge

100%; open Brown, N. C. (2019) Find in CUMINCAD Early building design using multi-objective data approaches , (Doctoral dissertation, Massachusetts Institute of Technology)

100%; open Chen, S., Cowan, C. F. N., & Grant, P. M. (1991) Find in CUMINCAD Orthogonal least squares learning algorithm for radial , IEEE Trans. Neural Netw, 2, 302-309

100%; open Fan, Z., Liu, M., & Tang, S. (2022) Find in CUMINCAD A multi-objective optimization design method for gymnasium facade shading ratio integrating energy load and daylight comfort , Building and Environment, 207, 108527

100%; open Fan, Z., Liu, M., Tang, S., & Zong, X. (2023) Find in CUMINCAD Integrated daylight and thermal comfort evaluation for tropical passive gymnasiums based on the perspective of exercisers , Energy and Buildings, 300, 113625

100%; open Fantozzi, F., & Lamberti, G. (2019) Find in CUMINCAD Determination of thermal comfort in indoor sport facilities located in moderate environments: An overview , Atmosphere, 10(12), 769

100%; open Pan, W., Turrin, M., Louter, C., Sariyildiz, S., & Sun, Y. (2019) Find in CUMINCAD Integrating multi-functional space and long-span structure in the early design stage of indoor sports arenas by using parametric modelling and multi-objective optimization , Journal of Building Engineering, 22, 464-485

100%; open Yang, D., Ren, S., Turrin, M., Sariyildiz, S., & Sun, Y. (2018) Find in CUMINCAD Multi-disciplinary and multi-objective optimization problem re-formulation in computational design exploration: A case of conceptual sports building design , Automation in Construction, 92, 242-269

last changed 2024/11/17 22:05
pick and add to favorite papersHOMELOGIN (you are user _anon_959222 from group guest) CUMINCAD Papers Powered by SciX Open Publishing Services 1.002