Open Access
Issue |
Sust. Build.
Volume 7, 2024
|
|
---|---|---|
Article Number | 4 | |
Number of page(s) | 13 | |
Section | Building and District Sustainable Energy Systems | |
DOI | https://doi.org/10.1051/sbuild/2024005 | |
Published online | 08 November 2024 |
- P.S. Badal, R. Sinha, A multi-objective performance-based seismic design framework for building typologies, Earthq. Eng. Struct. Dyn. 51, 1343–1362 (2022) [CrossRef] [Google Scholar]
- J.S. Pan, N. Liu, S.C. Chu, T. Lai, An efficient surrogate-assisted hybrid optimization algorithm for expensive optimization problems, Inf. Sci. 561, 304–325 (2020) [Google Scholar]
- Z. Serat, S.A.Z. Fatemi, S. Shirzad, Design and economic analysis of on-grid solar rooftop PV system using PVsyst software, Arch. Adv. Eng. Sci. 1, 63–76 (2023) [CrossRef] [Google Scholar]
- B. Lin, H. Chen, Y. Liu, Q. He, Z. Li, A preference-based multi-objective building performance optimization method for early design stage, Build. Simul. 14, 477–494 (2021) [CrossRef] [Google Scholar]
- T. Janus, S. Engell, Iterative process design with surrogate-assisted global flowsheet optimization, Chem. Eng. Technol. 93, 2019–2028 (2021) [Google Scholar]
- H. Yue, X. Jia, Application analysis of green building materials in urban three-dimensional landscape design, Int. J. Nanotechnol. 19, 817–829 (2022) [Google Scholar]
- A. Andiyan, Green architectural design concepts at mixed-use building retail office & FnB, Solid State Technol. 64, 6183–6191 (2021) [Google Scholar]
- Y. Zhou, J. Cai, Y. Xu, Indoor environmental quality and energy use evaluation of a three-star green office building in China with field study, J. Build. Phys. 45, 209–235 (2021) [CrossRef] [Google Scholar]
- L. Almeida, V.W.Y. Tam, K.N. Le, Y. She, Effects of occupant behavior on energy performance in buildings: a green and non-green building comparison, Engineering 27, 1939–1962 (2020) [Google Scholar]
- H.P.H. Anh, C.V. Kien, Optimal energy management of microgrid using advanced multi-objective particle swarm optimization, Eng. Comput. 37, 2085–280 (2020) [CrossRef] [Google Scholar]
- C. Zhi, L. Yiliang, H. Ke, X. Kai, Optimal design of a nuclear power plant condenser control system based on multi-objective optimization algorithm, Nucl. Technol. Radiat. Prot. 35, 95–102 (2020) [CrossRef] [Google Scholar]
- N.H. Trng, D.N. Dao, New hybrid between NSGA-III with multi-objective particle swarm optimization to multi-objective robust optimization design for Powertrain mount system of electric vehicles, Adv. Mech. Eng. 12, 85–84 (2020) [Google Scholar]
- G. Xu, K. Luo, G. Jing, X. Yu, X. Ruan, J. Song, On convergence analysis of multi-objective particle swarm optimization algorithm, Eur. J. Operat. Res. 286, 32–38 (2020) [CrossRef] [Google Scholar]
- C.L. Tsai, G. Fredrickson, Using particle swarm optimization and self-consistent field theory to discover globally stable morphologies of block copolymers, Macromolecules 55, 5249–5262 (2022) [CrossRef] [Google Scholar]
- I. Dagal, B. Akn, E. Akboy, Improved salp swarm algorithm based on particle swarm optimization for maximum power point tracking of optimal photovoltaic systems, Int. J. Energy Res. 46, 8742–8759 (2022) [CrossRef] [Google Scholar]
- I.B. Mansir, E.H.B. Hani, H. Ayed, C. Diyoke, Dynamic simulation of hydrogen-based zero energy buildings with hydrogen energy storage for various climate conditions, Int. J. Hydrog. Energy 47, 26501–26514 (2022) [CrossRef] [Google Scholar]
- Z. Qiao, W. Shan, N. Jiang, A.A. Heidari, H. Chen, Y. Teng, Gaussian bare-bones gradient-based optimization: towards mitigating the performance concerns, Int. J. Intell. Syst. 37, 3193–3254 (2022) [CrossRef] [Google Scholar]
- S. Choudhuri, S. Adeniye, A. Sen, Distribution alignment using complement entropy objective and adaptive consensus-based label refinement for partial domain adaptation, Artif. Intell. Appl. 1, 43–51 (2023) [Google Scholar]
- X.M. Long, Y.J. Chen, J. Zhou, Development of AR experiment on electric-thermal effect by open framework with simulation-based asset and user-defined input, Artif. Intell. Appl. 1, 52–57 (2023) [Google Scholar]
- S. Lim, F. Mémoli, Z. Smith, The Gromov-Hausdorff distance between spheres, Geometry Topology 27, 3733–3800 (2023) [CrossRef] [Google Scholar]
- L. Hu, Y. Yang, Z. Tang, Y. He, X. Luo, FCAN-MOPSO: an improved fuzzy-based graph clustering algorithm for complex networks with multi objective particle swarm optimization, IEEE Trans. Fuzzy Syst. 31, 3470–3484 (2023) [CrossRef] [Google Scholar]
- M.R. Rahimi, D. Makarem, S. Sarspy, S.A. Mahdavi, M.F. Albaghdadi, S.M. Armaghan, Classification of cancer cells and gene selection based on microarray data using MOPSO algorithm, J. Cancer Res. Clin. Oncol. 149, 15171–15184 (2023) [CrossRef] [Google Scholar]
- H. Tunga, D. Giri, A method of finding optimal number of clusters in a wireless network based on power efficiency using MOPSO, J. Decis. Anal. Intell. Comput. 3, 113–121 (2023) [CrossRef] [Google Scholar]
- R. Zhong, J. Yu, C. Zhang, M. Munetomo, SRIME: a strengthened RIME with Latin hypercube sampling and embedded distance-based selection for engineering optimization problems, Neural Comput. Appl. 36, 6721–6740 (2024) [Google Scholar]
- P. Monalisa, D. Satchidananda, J.A. Kumar, Multi-objective artificial bee colony algorithm in redundancy allocation problem, Int. J. Adv. Intell. Paradig. 25, 24–50 (2023) [Google Scholar]
- Z. Haber, H. Uguz, H. Hakli, Implementation of the land reallocation problem using NSGA-II and PESA-II algorithms: a case study in Konya/Turkey, Surv. Rev. 55, 385–395 (2023) [CrossRef] [Google Scholar]
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