Abdelmohsen, Sherif M. 2013. November. Reconfiguring architectural space using generative design and digital fabrication: a Project based course. In Proceedings of the 17th Conference of the Iberoamerican Society of Digital Graphics. https://doi.org/10.5151/despro-sigradi2013-0074
Adriaessens, Sigrid, Philippe Block, Diederik Veenendaal, and Chris Williams, eds., 2014. Shell structures for architecture: form finding and optimization. Routledge. https://doi.org/10.4324/9781315849270
Amrhein, Valentin, Sander Greenland, and Blakeley B. McShane. 2019. Statistical significance gives bias a free pass. European journal of clinical investigation 49(12): e13176. https://doi.org/10.1111/eci.13176
Bakhshi, Sajjad, Mohammad Reza Chenaghlou, Farzad Pour Rahimian, David J. Edwards, and Nashwan Dawood. 2022. Integrated BIM and DfMA parametric and algorithmic design based collaboration for supporting client engagement within offsite construction. Automation in Construction 133: 104015. https://doi.org/10.1016/j.autcon.2021.104015
Barbieri, Loris, and Maurizio Muzzupappa. 2022. Performance-driven engineering design approaches based on generative design and topology optimization tools: a comparative study. Applied Sciences 12(4): 2106. https://doi.org/10.3390/app12042106
Bernal, Marcelo, John R. Haymaker, and Charles Eastman. 2015. On the role of computational support for designers in action. Design Studies 41: 163-182. https://doi.org/10.1016/j.destud.2015.08.001
Blum, Christian, and Xiaodong Li. 2008. Swarm intelligence in optimization. In Swarm intelligence: introduction and applications (pp. 43-85). Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-540-74089-6_2
Bukhari, Fakhri A. 2011. A Hierarchical Evolutionary Algorithmic Design (HEAD) system for generating and evolving building design models (Doctoral dissertation, Queensland University of Technology). https://eprints.qut.edu.au/50964/
Caetano, Inês, Luís Santos, and António Leitão. 2020. Computational design in architecture: Defining parametric, generative, and algorithmic design. Frontiers of Architectural Research 9(2): 287-300. https://doi.org/10.1016/j.foar.2019.12.008
Caldas, Luisa. 2008. Generation of energy-efficient architecture solutions applying GENE_ARCH: An evolution-based generative design system. Advanced Engineering Informatics 22(1): 59-70. https://doi.org/10.1016/j.aei.2007.08.012
Chegari, Badr, Mohamed Tabaa, Emmanuel Simeu, Fouad Moutaouakkil, and Hicham Medromi. 2021. Multi-objective optimization of building energy performance and indoor thermal comfort by combining artificial neural networks and metaheuristic algorithms. Energy and Buildings 239: 110839. https://doi.org/10.1016/j.enbuild.2021.110839
Cobb, Paul, Jere Confrey, Andrea DiSessa, Richard Lehrer, and Leona Schauble. 2003. Design experiments in educational research. Educational researcher 32(1): 9-13. https://doi.org/10.3102/0013189X032001009
Du, Tiantian, Michela Turrin, Sabine Jansen, Andy van den Dobbelsteen, and Jian Fang. 2020. Gaps and requirements for automatic generation of space layouts with optimised energy performance. Automation in Construction 116: p.103132. https://doi.org/10.1016/j.autcon.2020.103132
Ekici, Berk, Cemre Cubukcuoglu, Michela Turrin, and I. Sevil Sariyildiz. 2019. Performative computational architecture using swarm and evolutionary optimisation: A review. Building and environment 147: 356-371. https://doi.org/10.1016/j.buildenv.2018.10.023
Fischer, Thomas, and Christiane M. Herr. 2001, December. Teaching generative design. In Proceedings of the 4th Conference on Generative Art (pp. 147-160). Milan: Politechnico di Milano University. https://papers.cumincad.org/data/works/att/ga0129.content.pdf
Frazer, John, Julia Frazer, Xiyu Liu, Ming Tang, and Patrick Janssen. 2002. Generative and evolutionary techniques for building envelope design. In Generative Art 2002, 5th International Conference GA2002 (pp. 3-1). Generative Design Lab. https://eprints.qut.edu.au/10565/
Gan, Vincent JL. 2022. BIM-based graph data model for automatic generative design of modular buildings. Automation in Construction 134: 104062. https://doi.org/10.1016/j.autcon.2021.104062
Gerber, David, and Evangelos Pantazis. 2016. Design Exploring Complexity in Architectural Shells. Aulikki Herneoja Toni Österlund Piia Markkanen Oulu School of Architecture University of Oulu: 455. https://doi.org/10.52842/conf.ecaade.2016.1.455
Gürsel Dino, İpek. 2012. Creative design exploration by parametric generative systems in architecture. https://doi.org/10.4305/METU.JFA.2012.1.12
Hassan, Sally R., Naglaa A. Megahed, Osama M. Abo Eleinen, and Asmaa M. Hassan. 2022. Toward a national life cycle assessment tool: Generative design for early decision support. Energy and Buildings 267: 112144. https://doi.org/10.1016/j.enbuild.2022.112144
Huang, Yu, and Jian-lei Niu. 2016. Optimal building envelope design based on simulated performance: History, current status and new potentials. Energy and Buildings 117: 387-398. https://doi.org/10.1016/j.enbuild.2015.09.025
Hubka, Vladimir, and W. Ernst Eder. 1987. A scientific approach to engineering design. Design studies 8(3): 123-137. https://doi.org/10.1016/0142-694X(87)90035-4
Humppi, Harri, and Toni Österlund. 2016. Algorithm-aided BIM. In Complexity & simplicity–Proceedings of the 34th eCAADe conference (pp. 601-609). https://doi.org/10.52842/conf.ecaade.2016.2.601
Jabi, Wassim, Shwe Soe, Peter Theobald, Robert Aish, and Simon Lannon. 2017. Enhancing parametric design through non-manifold topology. Design Studies 52: 96-114. https://doi.org/10.1016/j.destud.2017.04.003
Jabi, Wassim. 2013. Parametric design for architecture. Hachette UK. https://doi.org/10.1260/1478-0771.11.4.465
Janssen, Patrick, and Rudi Stouffs. 2015, May. Types of parametric modelling. In Proceedings of the 20th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) (pp. 157-166). https://doi.org/10.52842/conf.caadria.2015.157
Kalay, Yehuda E. 1989. Modeling objects and environments. John Wiley & Sons, Inc. https://doi.org/10.52842/conf.caadria.1997.187
Kiss, Benedek, and Zsuzsa Szalay. 2020. Modular approach to multi-objective environmental optimization of buildings. Automation in Construction 111: 103044. https://doi.org/10.1016/j.autcon.2019.103044
Kolarevic, Branko. 2003. September. Computing the performative in architecture. In Proceedings of the 21th eCAADe Conference: Digital Design. Graz, Austria (pp. 17-20). https://doi.org/10.52842/conf.ecaade.2003.457
Machairas, Vasileios, Aris Tsangrassoulis, and Kleo Axarli. 2014. Algorithms for optimization of building design: A review. Renewable and sustainable energy reviews 31: 101-112. https://doi.org/10.1016/j.rser.2013.11.036
Magnier, Laurent, and Fariborz Haghighat. 2010. Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and Artificial Neural Network. Building and Environment 45(3): 739-746. https://doi.org/10.1016/j.buildenv.2009.08.016
Marin, Philippe, Yann Blanchi, and Marian Janda. 2015, September. Cost analysis and data based design for supporting programmatic phase. In Proceedings of the 33rd International Conference on Education and Research in Computer Aided Architectural Design in Europe (pp. 613-618). https://doi.org/10.52842/conf.ecaade.2015.1.613
Michalewicz, Zbigniew, and David B. Fogel. 2013. How to solve it: modern heuristics. Springer Science & Business Media. https://doi.org/10.1007/978-3-662-07807-5
Mitchell, Melanie, and Charles E. Taylor. 1999. Evolutionary computation: an overview. Annual Review of Ecology and Systematics 30(1): 593-616. https://melaniemitchell.me/PapersContent/ARES1999.pdf
Mitchell, William J. 1975. The theoretical foundation of computer-aided architectural design. Environment and planning b: planning and design 2(2): 127-150. https://doi.org/10.1068/b020127
Moretti, Luigi. 1971. Ricerca matematica in architettura e urbanistica. Moebius IV, 1, pp.30-53.
Nagy, Danil, Damon Lau, John Locke, Jim Stoddart, Lorenzo Villaggi, Ray Wang, Dale Zhao, and David Benjamin. 2017. May. Project discover: An application of generative design for architectural space planning. In Proceedings of the Symposium on Simulation for Architecture and Urban Design (pp. 1-8). https://doi.org/10.22360/simaud.2017.simaud.007
Nagy, Danil, Lorenzo Villaggi, and David Benjamin. 2018. June. Generative urban design: integrating financial and energy goals for automated neighborhood layout. In Proceedings of the Symposium for Architecture and Urban Design Design, Delft, the Netherlands (pp. 265-274).
Oxman, Rivka. 2017. Thinking difference: Theories and models of parametric design thinking. Design studies 52: 4-39. https://doi.org/10.1016/j.destud.2017.06.001
Sarıyıldız, Sevil. 2012, November. Performative computational design. In ICONARCH International Congress of Architecture and Planning; 2012: ICONARCH I-ARCHITECTURE AND TECHNOLOGY. Konya Technical University Faculty of Architecture and Design. https://research.tudelft.nl/en/publications/performative-computational-design
Shi, Xing, and Wenjie Yang. 2013. Performance-driven architectural design and optimization technique from a perspective of architects. Automation in Construction 32: 125-135. https://doi.org/10.1016/j.autcon.2013.01.015
Sonta, Andrew, Thomas R. Dougherty, and Rishee K. Jain. 2021. Data-driven optimization of building layouts for energy efficiency. Energy and Buildings 238: 110815. https://doi.org/10.1016/j.enbuild.2021.110815
Terzidis, Kostas. 2006. Algorithmic architecture. Routledge. https://www.academia.edu/6994087/Algorithmic_Architecture
Wei, Shen, Rory Jones, and Pieter De Wilde. 2014. Driving factors for occupant-controlled space heating in residential buildings. Energy and Buildings 70: 36-44. https://doi.org/10.1016/j.enbuild.2013.11.001
Wu, Shihai, Nan Zhang, Xiaowei Luo, and Wei-Zhen Lu. 2022. Multi-objective optimization in floor tile planning: Coupling BIM and parametric design. Automation in Construction 140: 104384. https://doi.org/10.1016/j.autcon.2022.104384
Yu, Wei, Baizhan Li, Hongyuan Jia, Ming Zhang, and Di Wang. 2015. Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design. Energy and Buildings 88: 135-143. https://doi.org/10.1016/j.enbuild.2014.11.063
Zboinska, Malgorzata A. 2015. Hybrid CAD/E platform supporting exploratory architectural design. Computer-Aided Design 59: 64-84. https://doi.org/10.1016/j.cad.2014.08.029
Zhang, P. E. N. G. Y. U., and W. E. I. G. U. O. Xu. 2018. Quasicrystal structure inspired spatial tessellation in generative design. In Proceedings of the 23rd CAADRIA Conference (pp. 143-152). https://doi.org/10.52842/conf.caadria.2018.1.143