Optimization of building fenestration and shading for climate-based daylight performance using the coupled genetic algorithm and simulated annealing optimization methods

Abstract

Various metaheuristic optimization methods have been applied in high-performance glazing and shading system design due to the complexity and nonlinear impact of the fenestration characteristics on the daylighting performance. However, the optimal solutions found by different optimization methods may vary because of the stochastic nature and the configurations of the optimization methods. This paper studied the improvements in the reliability, consistency and robustness of the genetic algorithm (GA) using hybridization with simulated annealing (SA) considering different cooling strategies in the SA, including the initial temperature and state transitions for each temperature, which controls the comprehensiveness and the convergence acceleration of the search by SA. Analysis of the reliability, consistency and robustness of the optimization methods based on the mean values and the variances of the objective function values of the best cases found in different methods revealed that there is a significant difference between the hybrid GA/SA with higher temperature and GA, where hybrid algorithm performed better than the GA.

Research and application of energy consumption optimization design of electromechanical system based on genetic algorithms

“…Table The model parameter variables were selected with full reference to the research results of building energy efficiency optimization design in recent years [17,26,50]. The parameters of building electromechanical systems that affect energy consumption and have relevant standards for reference were selected, such as the parameters of air conditioning, heating and other electromechanical equipment systems specified in the Chinese green building and energy efficiency standards [23].…”

Multi-objective building design optimisation using acoustics and daylighting

“…Shahbazi et al 24 carried out a study on optimising building design in relation to lighting and thermal performance. Kheiri 25 compared genetic algorithm (GA), simulated annealing (SA) and hybrid methods for optimisation of fenestration system in relation to daylighting performance of an office space.…”

Parametric Design of Office Furniture Partition Space Integrated with the Interactive Evolution Algorithm of FNT and Tree Structure

“…Considering the differences in the position of nodes in the tree structure, the differences brought by nodes closer to the root node may be more significant than those far away from the root node. Two factors need to be considered, namely the size and height of the tree [18][19].…”