| id |
acadia14_655 |
| authors |
Su, Zhouzhou; Yan, Wei |
| year |
2014 |
| title |
Improving Genetic Algorithm for Design Optimization Using Architectural Domain Knowledge |
| source |
ACADIA 14: Design Agency [Proceedings of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9781926724478]Los Angeles 23-25 October, 2014), pp.655-660 |
| doi |
https://doi.org/10.52842/conf.acadia.2014.655
|
| summary |
The paper presents an improved genetic algorithm (GA) for architectural design optimization problems with offline simulation method utilizing specific domain knowledge in architecture. The method is evaluated by a case study of a nursing unit design, for which the objectives are to minimize nurses’ travel distance and maximize daylighting performance in patient rooms. |
| keywords |
design optimization, building simulation, genetic algorithm, offline simulation, computational complexity, walking distance |
| series |
ACADIA |
| type |
Normal Paper |
| email |
|
| full text |
 file.pdf (1,384,358 bytes) |
| references |
Content-type: text/plain
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| last changed |
2022/06/07 07:56 |
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