The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design
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Citations
Cites
Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
Muiltiobjective Optimization Using Nondominated Sorting in Genetic Algorithms
Srinivas, N., & Deb, K. (1994) · Evolutionary Computation · doi:10.1162/evco.1994.2.3.221 · Cited by 6,935
Artificial Neural Network Modeling of the Rainfall‐Runoff Process
Hsu, K., Gupta, H. V., & Sorooshian, S. (1995) · Water Resources Research · doi:10.1029/95wr01955 · Cited by 1,515
Applying multi-objective genetic algorithms in green building design optimization
Wang, W., Zmeureanu, R., & Rivard, H. (2005) · Building and Environment · doi:10.1016/j.buildenv.2004.11.017 · Cited by 726
Magnier, L., & Haghighat, F. (2010) · Building and Environment · doi:10.1016/j.buildenv.2009.08.016 · Cited by 725
Optimization of building thermal design and control by multi-criterion genetic algorithm
Wright, J. A., Loosemore, H. A., & Farmani, R. (2002) · Energy and Buildings · doi:10.1016/s0378-7788(02)00071-3 · Cited by 493
Using genetic algorithms to optimize controller parameters for HVAC systems
Huang, W., & Lam, H. N. (1997) · Energy and Buildings · doi:10.1016/s0378-7788(97)00008-x · Cited by 196
Optimization of air-conditioning system operating strategies for hot and humid climates
Huh, J.-H., & Brandemuehl, M. J. (2007) · Energy and Buildings · doi:10.1016/j.enbuild.2007.10.018 · Cited by 55
Optimization of buildings with respect to energy and indoor environment
Nielsen, T. R., & Svendsen, S. (2003) · Cited by 33
Li, N., Yu, W., & Li, B. (2012) · International Journal of Ventilation · doi:10.1080/14733315.2012.11683982 · Cited by 17
Self-citation
Cited by
Ten Questions Concerning Model Predictive Control for Energy Efficient Buildings
Killian, M., & Kozek, M. (2016) · Building and Environment · doi:10.1016/j.buildenv.2016.05.034 · Cited by 463
Gou, S., Nik, V. M., Scartezzini, J.-L., Zhao, Q., & Li, Z. (2018) · Energy and Buildings · doi:10.1016/j.enbuild.2017.09.095 · Cited by 313
AI-driven design optimization for sustainable buildings: a systematic review
Manmatharasan, P., Bitsuamlak, G., & Grolinger, K. (2025) · Energy and Buildings · doi:10.1016/j.enbuild.2025.115440 · Cited by 63
Rahif, R., Kazemi, M., & Attia, S. (2023) · Energy and Buildings · doi:10.1016/j.enbuild.2023.112998 · Cited by 51
Amiri, A. S., Jemtrud, M., & Chung, D. (2026) · Energy Conversion and Management · doi:10.1016/j.enconman.2025.121013 · Cited by 3
Metadata
- Authors
- Yu, W., Li, B., Jia, H., Zhang, M., & Wang, D.
- Venue
- Energy and Buildings
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 88
- Pages
- 135-143
- ISSN
- 0378-7788 (ISSN-L)
- OpenAlex
- W2037767895
- Cited by
- 450
- References
- 10
- FWCI
- 21.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design. https://app.cochat.ai/papers/10.1016/j.enbuild.2014.11.063
- The paper
- Yu, W., Li, B., Jia, H., Zhang, M., & Wang, D. (2015). Application of multi-objective genetic algorithm to optimize energy efficiency and thermal comfort in building design. Energy and Buildings. https://doi.org/10.1016/j.enbuild.2014.11.063
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
