Arda AgirbasEbru AlakavukAlakavuk, EbruAgirbas, Arda2025-10-062020023629451068-97612541-99350236-294510.33383/2020-0472-s2.0-85101878380https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101878380&doi=10.33383%2F2020-047&partnerID=40&md5=e7c562e7d975ab5f75273cc16ffa4f80https://gcris.yasar.edu.tr/handle/123456789/9131https://doi.org/10.33383/2020-047Architectural 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.Englishinfo:eu-repo/semantics/closedAccessComputational Design, Education Building Design, Facade Design, Multi-objective Opti-mization, Approximation Algorithms, Daylighting, Facades, Genetic Algorithms, Pareto Principle, Complex Task, Conflicting Objectives, Education Buildings, Facade Design, Multi Objective Evolutionary Algorithms, Multi-objective Genetic Algorithm, Nondominated Solutions, Total Construction Costs, Architectural DesignApproximation algorithms, Daylighting, Facades, Genetic algorithms, Pareto principle, Complex task, Conflicting objectives, Education buildings, Facade design, Multi objective evolutionary algorithms, Multi-objective genetic algorithm, Nondominated solutions, Total construction costs, Architectural designFacade DesignComputational DesignMulti-Objective OptimizationEducation Building DesignMulti-Objective Opti-MizationArticle