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Fractal Patterns as Fitness Criteria in Genetic Algorithms Applied as a Design Tool in Architecture
Nexus Network Journal ( IF 0.7 ) Pub Date : 2020-05-27 , DOI: 10.1007/s00004-020-00490-4
John Charles Driscoll

This paper explores the generative use of a genetic algorithm incorporating a computer-based fractal dimension tool termed “DBVgen”. Fractals offer a quantitative and qualitative relation between nature, the built environment and computational mechanics and in this paper are explored as a bridge between these realms. The primary objective was to develop and employ a sophisticated analytic tool within a creative context using fractal dimension and the Vollendorf Method. This tool was then tested on a complex case study project and the results discussed. The design process developed for this research showed that the insertion of the DBVgen tool into a traditional schematic design phase was capable of creating unique and compelling compositions and aided in developing high level architectural solutions with respect to various parametric controls and designer feedback. A valuable aspect of this exploration was in positioning the DBVgen tool up front to aid in the creative process and better leverage downstream outcomes.

中文翻译:

分形模式作为遗传算法中的适应标准在建筑中用作设计工具

本文探讨了遗传算法的生成使用,该算法结合了称为“DBVgen”的基于计算机的分形维数工具。分形在自然、建筑环境和计算力学之间提供了定量和定性的关系,本文将其作为这些领域之间的桥梁进行探讨。主要目标是使用分形维数和沃伦多夫方法在创造性环境中开发和使用复杂的分析工具。然后在一个复杂的案例研究项目中对该工具进行了测试,并讨论了结果。为这项研究开发的设计过程表明,将 DBVgen 工具插入传统的原理图设计阶段能够创建独特且引人注目的构图,并有助于开发与各种参数控制和设计师反馈相关的高级架构解决方案。这种探索的一个有价值的方面是将 DBVgen 工具放在前面,以帮助创作过程并更好地利用下游结果。
更新日期:2020-05-27
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