Spatial Arrangement Using Generative Design Understanding Implementation through Case of Office Space Layout Using Generative Algorithm

Abstract

The examination of numerous alternatives that fulfil the same requirements is a crucial component of design exploration. These explorations are challenging to carry out with human computing capacity in terms of energy efficiency and other variables which affect the design process. As a result, recommending a generative CAD-based concept discovery approach is critical. Instead of standard architectural practice, generative architectural design is a new process that helps us find unanticipated innovative ideas and manage trade-offs between high-performance building designs, sketch restrictions, and priorities; the points which we all as an architect are trying to indulge in our design process but to certain extents due to limitations of human computing power. This innovative new design process is ideal for multicriteria issues with major performance requirements that are either incomputable or limited to the human brain. Generative design is a paradigm change in how we think about, create, and make things. At its most basic level, generative design is an approach for enhancing human talents by automating design reasoning with algorithms. We still provide the design requirements, but rather than modelling one thing at a time, generative design supports us - the designer - in simultaneously generating several responses and, in some situations, uncovering unexpected and unique solutions that would be hard to find using conventional methods. In computer - aided design, this form of automation isn't new; it's just getting started. Consider the early days of AutoCAD AutoLISP, when simple scripts were used to automate regular processes. The difference now is that scripting and algorithms can manage far greater swaths of data and analysis and can control much larger portions of functionality This technique has several benefits for creating space, including managing complexity, optimising for specific criteria, supplementing human creativity and intuition, incorporating a vast amount of information from previous projects and current demands, negotiating trade-offs based on actual data, organising dialogue among stakeholders regarding design features and project objectives, and providing a "live model" for post-occupancy evaluation. The primary emphasis of this study will be on understanding generative design as a process, how it is engaged, and at what time in any architecture. Then analysing different space requirements for office layout using primary case studies in Ahmedabad. A generative module inside a parametric CAD framework will be developed for office space optimization with the fitness criteria evaluations to provide grounds for use of this technique. While executing the algorithm to find different iterations and evaluating them and comparing them with existing layouts, the aim is not necessarily to develop/argue regarding better design options, rather it is done to set grounds for the generative process, while exploring the iterations which perform well in the criteria that has been fed to the algorithm.