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Optimization test of a rule-based swarm intelligence simulation for the conceptual design process

Published online by Cambridge University Press:  15 July 2020

Asli Agirbas Open the ORCID record for Asli Agirbas [Opens in a new window]
Asli Agirbas*
Affiliation:
Fatih Sultan Mehmet Vakif University, Sutluce Mah. Karaagac Cad. No: 12/A Beyoglu, Istanbul, Turkey
*
Author for correspondence: Asli Agirbas, E-mail: asliagirbas@gmail.com
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Abstract

Today, in the field of architecture, bio-inspired algorithms can be used to design and seek solutions to design problems. Two of the most popular algorithms are the genetic algorithm (GA) and swarm intelligence algorithm. However, no study has examined the simultaneous use of these two bio-inspired algorithms in the field of architecture. Therefore, this study aims to test whether these two bio-inspired algorithms can work together. To this end, GA is used in this study to optimize the rule-based swarm algorithm for the conceptual design process. In this optimization test, the objective was to increase the surface area, and the constraints are parcel boundary and building height. Further, the forms associated with swarm agents were determined as variables. Following the case studies, the study concludes that the two bio-inspired algorithms can effectively work together.

Keywords

Bio-inspired designconceptual design modelgenetic algorithmoptimizationswarm intelligence
Type
Research Article
Information
AI EDAM , Volume 34 , Issue 4 , November 2020 , pp. 477 - 491
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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