GPU-Enabled Physics-Based Floor Plan Optimization Based on Work Place Analytical Data
(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:
https://lup.lub.lu.se/record/11a5f5c3-62ea-4398-86ab-3398e34f191b
- author
- Nordin, Axel LU
- organization
- publishing date
- 2021
- 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
- 978-1-64368-208-2
- 978-1-64368-209-9
- 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
- 2024-09-19 18:58:09
@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 = {{978-1-64368-208-2}}, 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}}, }