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, insulation