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GPU-Enabled Physics-Based Floor Plan Optimization Based on Work Place Analytical Data

Nordin, Axel LU (2021) In Advances in Transdisciplinary Engineering 16. p.455-464
Abstract
This paper presents an approach for optimizing floor plans using data collected from workplaces and a physics-based planning algorithm utilizing GPU-acceleration. The approach is compared to two approaches based on Genetic Algorithms and Particle Swarm Optimization. Common objectives, such as minimizing distance between related departments and daylight usage are optimized using the physics-based method in a case study of an actual plot and company. The results show that the physics-based approach is very efficient at handling large amounts of rooms compared to the other methods tested.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Transdisciplinary Engineering for Resilience : Responding to System Disruptions - Responding to System Disruptions
series title
Advances in Transdisciplinary Engineering
volume
16
pages
455 - 464
publisher
IOS Press
external identifiers
  • scopus:85119215226
ISSN
2352-7528
2352-751X
ISBN
978-1-64368-209-9
978-1-64368-208-2
DOI
10.3233/ATDE210125
project
Intelligenta kontor med återbruk och arbetsmiljö i centrum
language
English
LU publication?
yes
id
11a5f5c3-62ea-4398-86ab-3398e34f191b
date added to LUP
2021-11-16 15:12:32
date last changed
2024-06-27 11:15:46
@inproceedings{11a5f5c3-62ea-4398-86ab-3398e34f191b,
  abstract     = {{This paper presents an approach for optimizing floor plans using data collected from workplaces and a physics-based planning algorithm utilizing GPU-acceleration. The approach is compared to two approaches based on Genetic Algorithms and Particle Swarm Optimization. Common objectives, such as minimizing distance between related departments and daylight usage are optimized using the physics-based method in a case study of an actual plot and company. The results show that the physics-based approach is very efficient at handling large amounts of rooms compared to the other methods tested.}},
  author       = {{Nordin, Axel}},
  booktitle    = {{Transdisciplinary Engineering for Resilience : Responding to System Disruptions}},
  isbn         = {{978-1-64368-209-9}},
  issn         = {{2352-7528}},
  language     = {{eng}},
  pages        = {{455--464}},
  publisher    = {{IOS Press}},
  series       = {{Advances in Transdisciplinary Engineering}},
  title        = {{GPU-Enabled Physics-Based Floor Plan Optimization Based on Work Place Analytical Data}},
  url          = {{http://dx.doi.org/10.3233/ATDE210125}},
  doi          = {{10.3233/ATDE210125}},
  volume       = {{16}},
  year         = {{2021}},
}