Performative computational architecture using swarm and evolutionary optimisation: A review. (January 2019)

• Record Type: Journal Article
• Authors: Ekici, Berk; Cubukcuoglu, Cemre; Turrin, Michela; Sariyildiz, I. Sevil
• Is Part Of: Building and environment. Volume 147(2019)
• Page Start: 356
• Page End: 371
• Publication Date: 2019-01
• Subjects: Performance-based design -- Building design -- Architectural design -- Computational optimisation -- Swarm intelligence -- Evolutionary algorithm; Buildings -- Environmental engineering -- Periodicals; Building -- Research -- Periodicals; Constructions -- Technique de l'environnement -- Périodiques; Electronic journals; 696
• DOI: 10.1016/j.buildenv.2018.10.023
• Languages: English
• ISSNs: 0360-1323

Abstract

Abstract: This study presents a systematic review and summary of performative computational architecture using swarm and evolutionary optimisation. The taxonomy for one hundred types of studies is presented herein that includes different sub-categories of performative computational architecture, such as sustainability, cost, functionality, and structure. Specifically, energy, daylight, solar radiation, environmental impact, thermal comfort, life-cycle cost, initial and global costs, energy use cost, space allocation, logistics, structural assessment, and holistic design approaches, are investigated by considering their corresponding performance aspects. The main findings, including optimisation and all the types of parameters, are presented by focussing on different aspects of buildings. In addition, usage of form-finding parameters of all reviewed studies and the distributions for each performance objectives are also presented. Moreover, usage of swarm and evolutionary optimisation algorithms in reviewed studies is summarised. Trends in publications, published years, problem scales, and building functions, are examined. Finally, future prospects are highlighted by focussing on different aspects of performative computational architecture in accordance to the evidence collected based on the review process. Highlights: Architectural design is affecting the building performance since the conceptual phase. In 100 papers, building design problems are analysed for layout, skin, and overall building shape. Performance indicators for energy are the predominant (multi)objectives. Windows, shading, orientation, and building's shape are the most used form-finding parameters. Very few studies compared different optimisation algorithms for the same design problem.