{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T10:40:59Z","timestamp":1776163259922,"version":"3.50.1"},"reference-count":42,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T00:00:00Z","timestamp":1696204800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Computation"],"abstract":"<jats:p>The climate change crisis has resulted in the need to use sustainable methods in architectural design, including building form and orientation decisions that can save a significant amount of energy consumed by a building. Several previous studies have optimized building form and envelope for energy performance, but the isolated effect of varieties of possible architectural forms for a specific climate has not been fully investigated. This paper proposes four novel office building form generation methods (the polygon that varies between pentagon and decagon; the pixels that are complex cubic forms; the letters including H, L, U, T; cross and complex cubic forms; and the round family including circular and oval forms) and evaluates their annual thermal energy use intensity (EUI) for Cairo (hot climate). Results demonstrated the applicability of the proposed methods in enhancing the energy performance of the new forms in comparison to the base case. The results of the optimizations are compared together, and the four families are discussed in reference to their different architectural aspects and performance. Scatterplots are developed for the round family (highest performance) to test the impact of each dynamic parameter on EUI. The round family optimization process takes a noticeably high calculation time in comparison to other families. Therefore, an Artificial Neural Network (ANN) prediction model is developed for the round family after simulating 1726 iterations. Training of 1200 configurations is used to predict annual EUI for the remaining 526 iterations. The ANN predicted values are compared against the trained to determine the time saved and accuracy.<\/jats:p>","DOI":"10.3390\/computation11100192","type":"journal-article","created":{"date-parts":[[2023,10,2]],"date-time":"2023-10-02T04:17:19Z","timestamp":1696220239000},"page":"192","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Optimization and Prediction of Different Building Forms for Thermal Energy Performance in the Hot Climate of Cairo Using Genetic Algorithm and Machine Learning"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5368-2517","authenticated-orcid":false,"given":"Amany","family":"Khalil","sequence":"first","affiliation":[{"name":"Department of Architectural Engineering, Faculty of Engineering & Technology, Future University in Egypt, 90th St, New Cairo 11835, Cairo Governorate, Egypt"}]},{"given":"Anas M. Hosney","family":"Lila","sequence":"additional","affiliation":[{"name":"School of Architecture & Environment, College of Arts, Technology & Environment (CATE), University of the West of England, Bristol BS16 1QY, UK"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6237-3812","authenticated-orcid":false,"given":"Nouran","family":"Ashraf","sequence":"additional","affiliation":[{"name":"Department of Architectural Engineering, Faculty of Engineering & Technology, Future University in Egypt, 90th St, New Cairo 11835, Cairo Governorate, Egypt"}]}],"member":"1968","published-online":{"date-parts":[[2023,10,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.enbuild.2016.06.089","article-title":"Building energy-consumption status worldwide and the state-of-the-art technologies for zero-energy buildings during the past decade","volume":"128","author":"Cao","year":"2016","journal-title":"Energy Build."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"367","DOI":"10.1016\/j.enbuild.2016.11.011","article-title":"Energy and indoor environmental performance of typical Egyptian offices: Survey, baseline model and uncertainties","volume":"135","author":"Elharidi","year":"2017","journal-title":"Energy Build."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"103247","DOI":"10.1016\/j.jobe.2021.103247","article-title":"Energy rationalization for an educational building in Egypt: Towards a zero energy building","volume":"44","author":"Emil","year":"2021","journal-title":"J. Build. Eng."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.1016\/S0360-1323(01)00102-0","article-title":"The limit U values for building envelope related to building form in temperate and cold climatic zones","volume":"37","author":"Oral","year":"2002","journal-title":"Build. Environ."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.aei.2007.08.012","article-title":"Generation of energy-efficient architecture solutions applying GENE_ARCH: An evolution-based generative design system","volume":"22","author":"Caldas","year":"2008","journal-title":"Adv. Eng. Inform."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"102804","DOI":"10.1016\/j.jobe.2021.102804","article-title":"Intelligent optimization: A novel framework to automatize multi-objective optimization of building daylighting and energy performances","volume":"43","author":"Dong","year":"2021","journal-title":"J. Build. Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"103200","DOI":"10.1016\/j.jobe.2021.103200","article-title":"An integrated decision-making framework for existing building retrofits based on energy simulation and cost-benefit analysis","volume":"43","author":"Lu","year":"2021","journal-title":"J. Build. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"981","DOI":"10.1016\/j.egyr.2021.01.097","article-title":"A comprehensive method for optimizing the design of a regular architectural space to improve building performance","volume":"7","author":"Zou","year":"2021","journal-title":"Energy Rep."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1016\/j.apenergy.2019.03.028","article-title":"A new comprehensive framework for the multi-objective optimization of building energy design: Harlequin","volume":"241","author":"Ascione","year":"2019","journal-title":"Appl. Energy"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"371","DOI":"10.1016\/j.enbuild.2017.01.048","article-title":"Optimization of thermal and daylight performance of school buildings based on a multi-objective genetic algorithm in the cold climate of China","volume":"139","author":"Zhang","year":"2017","journal-title":"Energy Build."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.solener.2015.12.020","article-title":"Passive performance and building form: An optimization framework for early-stage design support","volume":"125","author":"Konis","year":"2016","journal-title":"Sol. Energy"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1574","DOI":"10.1016\/j.buildenv.2010.01.005","article-title":"Genetic-algorithm based approach to optimize building envelope design for residential buildings","volume":"45","author":"Krarti","year":"2010","journal-title":"Build. Environ."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"103044","DOI":"10.1016\/j.autcon.2019.103044","article-title":"Modular approach to multi-objective environmental optimization of buildings","volume":"111","author":"Kiss","year":"2020","journal-title":"Autom. Constr."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"106841","DOI":"10.1016\/j.buildenv.2020.106841","article-title":"Multi-objective optimization for energy consumption, daylighting and thermal comfort performance of rural tourism buildings in north China","volume":"176","author":"Zhu","year":"2020","journal-title":"Build. Environ."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"738","DOI":"10.1016\/j.solener.2019.09.091","article-title":"Towards nearly Zero Energy Buildings: Shape optimization of typical housing typologies in Ibero-American temperate climate cities from a holistic perspective","volume":"193","author":"Camporeale","year":"2019","journal-title":"Sol. Energy"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/j.solener.2019.08.039","article-title":"Design optimization of building geometry and fenestration for daylighting and energy performance","volume":"191","author":"Fang","year":"2019","journal-title":"Sol. Energy"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.autcon.2012.05.004","article-title":"Site-specific optimal energy form generation based on hierarchical geometry relation","volume":"26","author":"Yi","year":"2012","journal-title":"Autom. Constr."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"825","DOI":"10.1016\/j.autcon.2009.03.006","article-title":"Optimizing building form for energy performance based on hierarchical geometry relation","volume":"18","author":"Yi","year":"2009","journal-title":"Autom. Constr."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"86","DOI":"10.1016\/j.aei.2018.01.003","article-title":"Toolbox for super-structured and super-structure free multi-disciplinary building spatial design optimisation","volume":"36","author":"Boonstra","year":"2018","journal-title":"Adv. Eng. Inform."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"107929","DOI":"10.1016\/j.buildenv.2021.107929","article-title":"MOOSAS\u2014A systematic solution for multiple objective building performance optimization in the early design stage","volume":"200","author":"Lin","year":"2021","journal-title":"Build. Environ."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Du, T., Turrin, M., Jansen, S., van den Dobbelsteen, A., and De Luca, F. (2022). Relationship Analysis and Optimisation of Space Layout to Improve the Energy Performance of Office Buildings. Energies, 15.","DOI":"10.3390\/en15041268"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.autcon.2012.12.003","article-title":"Building envelope shape design in early stages of the design process: Integrating architectural design systems and energy simulation","volume":"32","author":"Granadeiro","year":"2013","journal-title":"Autom. Constr."},{"key":"ref_23","first-page":"1","article-title":"Space layout and energy performance: Parametric optimisation of space layout for the energy performance of office buildings","volume":"15","author":"Du","year":"2021","journal-title":"A+BE|Archit. Built Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1016\/j.enbuild.2014.09.080","article-title":"Optimization of a free-form building shape to minimize external thermal load using genetic algorithm","volume":"85","author":"Jin","year":"2014","journal-title":"Energy Build."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"591","DOI":"10.1016\/j.buildenv.2015.03.039","article-title":"Bi-objective optimization of building enclosure design for thermal and lighting performance","volume":"92","author":"Futrell","year":"2015","journal-title":"Build. Environ."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"101025","DOI":"10.1016\/j.jobe.2019.101025","article-title":"Optimization of building form to reduce incident solar radiation","volume":"28","author":"Taleb","year":"2020","journal-title":"J. Build. Eng."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"170","DOI":"10.1016\/j.enbuild.2014.06.016","article-title":"Automated approach for design generation and thermal assessment of alternative floor plans","volume":"81","author":"Rodrigues","year":"2014","journal-title":"Energy Build."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"186","DOI":"10.1016\/j.solener.2015.04.046","article-title":"Building shape optimisation to reduce air-conditioning needs using constrained evolutionary algorithms","volume":"118","author":"Caruso","year":"2015","journal-title":"Sol. Energy"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"108185","DOI":"10.1016\/j.buildenv.2021.108185","article-title":"Robustness of building energy optimization with uncertainties using deterministic and stochastic methods: Analysis of two forms","volume":"205","author":"Lu","year":"2021","journal-title":"Build. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"101847","DOI":"10.1016\/j.aei.2022.101847","article-title":"Optimization of an office building form using a lattice incubate boxes method","volume":"55","author":"Khalil","year":"2023","journal-title":"Adv. Eng. Inform."},{"key":"ref_31","unstructured":"Chatzikonstantinou, I. (2021). Architectural Design Performance Through Computational Intelligence: A Comprehensive Decision Support Framework. [Ph.D. Dissertation, Delft University of Technology]."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Lila, A., Jabi, W., and Lannon, S. (2021, January 1\u20133). Predicting solar radiation with Artificial Neural Network based on urban geometrical classification. Proceedings of the Building Simulation 2021 Conference, Bruges, Belgium.","DOI":"10.26868\/25222708.2021.30796"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1080\/19401493.2010.549573","article-title":"Selection criteria for building performance simulation tools: Contrasting architects\u2019 and engineers\u2019 needs","volume":"5","author":"Attia","year":"2012","journal-title":"J. Build. Perform. Simul."},{"key":"ref_34","unstructured":"Robert McNeel & Associates (2020, January 16). Rhino 6 for Windows and Mac. Available online: https:\/\/www.rhino3d.com\/."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"254","DOI":"10.25046\/aj060228","article-title":"Design Optimization of Open Office Building Form for Thermal Energy Performance using Genetic Algorithm","volume":"6","author":"Khalil","year":"2021","journal-title":"Adv. Sci. Technol. Eng. Syst. J."},{"key":"ref_36","unstructured":"Roudsari, M.S. (2021, October 09). Ladybug Tools|Home Page. Available online: https:\/\/www.ladybug.tools\/."},{"key":"ref_37","first-page":"414","article-title":"Genetic evolution vs. function approximation: Benchmarking algorithms for architectural design optimization","volume":"6","author":"Wortmann","year":"2019","journal-title":"J. Comput. Des. Eng."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1016\/j.rser.2018.04.080","article-title":"A review on optimization methods applied in energy-efficient building geometry and envelope design","volume":"92","author":"Kheiri","year":"2018","journal-title":"Renew. Sustain. Energy Rev."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.cad.2017.10.005","article-title":"A review of the use of examples for automating architectural design tasks","volume":"96","year":"2018","journal-title":"Comput.-Aided Des."},{"key":"ref_40","unstructured":"(2020, January 20). Vierlinger Octopus Food4Rhino. Available online: https:\/\/www.food4rhino.com\/app\/octopus."},{"key":"ref_41","unstructured":"Vier, C.B.R., and Groups, V. (2020, August 30). Octopus. Available online: https:\/\/www.grasshopper3d.com\/group\/octopus."},{"key":"ref_42","unstructured":"Lila, A., and Lannon, S. (2023, June 24). Classifying Urban Geometry Impact on Solar Radiation. Presented at the Building Simulation 2019: 16th Conference of IBPSA, Rome, Italy, September 2019. Available online: https:\/\/orca.cardiff.ac.uk\/id\/eprint\/126536\/."}],"container-title":["Computation"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-3197\/11\/10\/192\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T21:04:02Z","timestamp":1760130242000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-3197\/11\/10\/192"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,2]]},"references-count":42,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2023,10]]}},"alternative-id":["computation11100192"],"URL":"https:\/\/doi.org\/10.3390\/computation11100192","relation":{},"ISSN":["2079-3197"],"issn-type":[{"value":"2079-3197","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,2]]}}}