Abstract
This paper presents an implementation of multi-objective optimization for a rectangular façade design proposal in a healthcare building’s common space. Objectives are to maximize daylight performance and to minimize façade construction cost. The aim of this study is to enhance indoor comfort of an existing healthcare building by concerning cost-effective façade design alternatives subject to several constraints. To handle the problem, we formulate a multi-objective real-parameter constraint problem. In order to solve this, Non-Dominated Sorting Genetic Algorithm II (NSGA-II) and Multi-objective Self-Adaptive Ensemble Differential Evolution (jE_DEMO) algorithms are used. Finally, both algorithms are capable to discover desirable set of design alternatives.
Original language | English |
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Title of host publication | Proceedings 2017 IEEE Congress on Evolutionary Computation |
Editors | J.A. Lozano |
Publisher | IEEE |
Pages | 1021-1028 |
Number of pages | 8 |
ISBN (Print) | 978-1-5090-4601-0 |
DOIs | |
Publication status | Published - 7 Jul 2017 |
Event | IEEE Congress on Evolutionary Computation 2017 - Donostia/San Sebastian, Spain Duration: 5 Jun 2017 → 8 Jun 2017 http://cec2017.org/ |
Conference
Conference | IEEE Congress on Evolutionary Computation 2017 |
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Abbreviated title | CEC |
Country/Territory | Spain |
City | Donostia/San Sebastian |
Period | 5/06/17 → 8/06/17 |
Internet address |
Keywords
- Healthcare building
- Façade design
- Evolutionary computation
- Multi-objective optimization
- Differential evolution