Multi-Objective Optimization of Gymnasium Layout Based on Genetic Algorithm – Balance of Energy Consumption and Indoor Thermal Comfort

• DOI: 10.52842/conf.caadria.2023.2.603
• Publication Date: 2023-06-15T21:11:31Z
• Authors: Zhaoxiang Fan; Shuoning Tang; Mengxuan Liu
• Keywords: Mode (computer interface)

Multi-functional complexes have gradually become a new trend in the development of gymnasiums.Different types layout patterns, such as space combination, depth ratio, and atrium forms, will more obvious impact on indoor energy consumption comfort gymnasium.The genetic algorithm SPEA-2 Pareto optimal multi-objective optimization workflow were introduced this study to help architects improve design gymnasium early stage.This can optimize radiation load thermal by adjusting plan parameters.The combined with test cases explore frontier solution set (30 generations) morphological parameters(LMP) under different combination modes, which mode, environment achieve relative balance.Part is selected for quantitative analysis performance improvement so verify simulation results.