A Preliminary Approach to Allocate Categories of Buildings into Lands based on Generative Design

In comparison to some other economic sectors, the productivity of workers in the construction has not increased much over the last 20 years. There are many approaches to tackle this problem, and one of them is to rethink the design process and introduce automation. In this paper, we propose a workflow that allocates houses on a plot of land. This workflow starts with GIS data and urban planning requirements and ends with a BIM model on that property. A genetic algorithm tackles the design process of allocation of houses by iterating and optimizing a parametric model. In the end, a designer chooses the final solution between the generated range. The degree of automation achieved by the algorithm will be tested by comparing the results of the algorithm with human-made designs.

[1]  A Novel Design Space Model for Generative Space Planning in Architecture , 2017 .

[2]  John Locke,et al.  Project discover: an application of generative design for architectural space planning , 2017 .

[3]  Christiane M. Herr Adapting Cellular Automata as Architectural Design Tools , 2015 .

[4]  Daniel Camozzato,et al.  A METHOD FOR GROWTH-BASED PROCEDURAL FLOOR PLAN GENERATION , 2015 .

[5]  Vladlen Koltun,et al.  Computer-generated residential building layouts , 2010, SIGGRAPH 2010.

[6]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[7]  Ning Gu,et al.  Towards an integrated generative design framework , 2012 .

[8]  Danny Lobos,et al.  The problem of space layout in architecture: A survey and reflections , 2010 .

[9]  Abdallah Shami,et al.  A Novel Algorithm for Real-time Procedural Generation of Building Floor Plans , 2012, ArXiv.

[10]  Max Jacobson,et al.  A Pattern Language: Towns, Buildings, Construction , 1981 .

[11]  R. Schaffranek Parallel planning An experimental study in spectral graph matching , 2015 .

[12]  Eugénio Rodrigues,et al.  Automated Floor Plan Design: Generation, Simulation, and Optimization , 2014 .

[13]  David W. Newton,et al.  Generative Deep Learning in Architectural Design , 2019, Technology|Architecture + Design.

[14]  Danil Nagy,et al.  The Buzz Metric: A Graph-based Method for Quantifying Productive Congestion in Generative Space Planning for Architecture , 2017 .

[15]  Richard Schaffranek SPACE SYNTAX FOR GENERATIVE DESIGN : On the application of a new tool 050 , 2013 .