Multi-objective Optimization Of Daylight
Multi-Objective Optimization of Daylight is a computational framework in building performance simulation that systematically balances competing objectives—such as maximizing daylight availability, minimizing energy demand for lighting and cooling, and ensuring visual comfort—through integrated analysis and trade-off evaluation to support energy-efficient and human-centric architectural design.
99
Publications
5.1K
Citations
282
Authors
122
Institutions
Publications per year
2017–2026
72
99
Rizki A. Mangkuto, Mardliyahtur Rohmah, Anindya Dian Asri · Applied Energy · 2015 · 245 citations
Architecture, Architectural Engineering, Building Science +17
Anxiao Zhang, Regina Bokel, Andy van den Dobbelsteen et al. · Energy and Buildings · 2017 · 240 citations
Architecture, Architectural Engineering, Building Science +17
1–5 of 99
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Singapore University of Technology and Design, Singapore
3 publications · 147 citations
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122

Tarbiat Modares University
Tehran, Iran
8 h-index
18 publications
1.2K citations

Delft University of Technology
Delft, The Netherlands
7 h-index
15 publications
1.3K citations

Southeast University
Nanjing, China
5 h-index
15 publications
1.2K citations

South China University of Technology
Guangzhou, China
4 h-index
9 publications
139 citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
5 publications
311 citations

Yaşar University
Izmir, Türkiye
3 h-index
10 publications
132 citations
Bandung Institute of Technology
Bandung, Indonesia
3 h-index
10 publications
894 citations

King Saud University
Riyadh, Saudi Arabia
3 h-index
3 publications
59 citations
1–8 of 122
13 publications · 1.2K citations
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12 publications · 657 citations
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11 publications · 456 citations
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5 publications · 125 citations
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5 publications · 797 citations
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