Facade optimization for an education building using multi-objective evolutionary algorithms

Abstract

Architectural design of a facade both at the aes-thetic point of view and from the point of view of internal daylighting performance of the build-ing can be considered as a complex task. In this study we implement a multi-objective evolutionary algorithm to formally exploration the process of reconstruction of the education building’s fa-cade. The purpose of this research is to create a facade configuration by considering the size and loca-tion of elements and their materials when creating a suitable internal daylight distribution. The total construction cost of the building’s exterior and the daylight performance of the building’s interior are considered as objectives. The problem formula-tion includes two conflicting objectives which are to increase daylighting aspect on each floor and reduce the total construction cost of the facade. To de-tect the approximation of Pareto fronts including non-dominated solutions we used a fast and elitist multi-objective genetic algorithm (NSGA-II). Computational and architectural results show that NSGA-II is efficient enough to demonstrate eligible facade design alternatives. © 2021 Elsevier B.V. All rights reserved.