Research on Energy-Efficient Building Design Using Target Function Optimization and Genetic Neural Networks

Research on Energy-Efficient Building Design Using Target Function Optimization and Genetic Neural Networks

OBJECTIVES: This research aims to provide data for decision-makers to achieve sustainability in building construction projects. METHODS: A multi-objective optimization method, using the non-sorting genetic algorithm (NSGA-II), assesses energy efficiency by determining optimal wall types, insulati...

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Bibliographic Details
Main Author: Youxiang Huan
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2025-01-01
Series:EAI Endorsed Transactions on Energy Web
Subjects:
Building performance
Cost performance
Life cycle cost analysis
Thermal Index
ANN
Design variables
Online Access:https://publications.eai.eu/index.php/ew/article/view/6709
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