Multi-Objective Optimization of Room Temperature Regulation of Building Phase Change Materials Based on Genetic Algorithm

In order to further improve the temperature regulation performance of building phase change materials (PCM), on the basis of the traditional regulation hours, a multiobjective function which integrates the regulation hours and the economy of the envelope structure was proposed, and the objective function is solved by genetic algorithm (GA). The experimental results show that the optimal combination of each attribute of phase change material can be obtained by genetic algorithm, and the regulation hours and contribution rate obtained by genetic algorithm are more advantageous than PSO solution method. This shows that the room temperature of building phase change materials can be better solved through genetic algorithm, so as to achieve the purpose of joint improvement of temperature and economy, and has certain reference value.