Utilizing developed multi-verse optimization algorithm for optimizing envelope design of residential structure

References

• Abreu, L. M. H. R. M. da Hora, J. J. A. Rangel, M. Erthal Jr, N. Razmjooy, V. V. Estrela, G. Thierry Edoh, G. de Oliveira, and Y. Iano. 2021. A multi-criteria modelling for ranking CO2 emitting G20 countries from the Kaya Identity and their impacts on elderly health. In: Proceedings of the 6th Brazilian Technology Symposium (BTSym’20). BTSym 2020. Smart Innovation, Systems and Technologies, eds. Y. Iano, O. Saotome, G. Kemper, A. C. Mendes de Seixas, and G. Gomes de Oliveira. vol. 233. Cham: Springer. doi:10.1007/978-3-030-75680-2_53
   Google Scholar
• Abualigah, L. 2020. Multi-Verse Optimizer Algorithm: A comprehensive survey of its results, variants, and applications. Neural Computing and Applications 32 (16):12381–401. doi:10.1007/s00521-020-04839-1.
   Web of Science ®Google Scholar
• Akbary, P., M. Ghiasi, M. R. R. Pourkheranjani, H. Alipour, and N. Ghadimi. 2019. Extracting appropriate nodal marginal prices for all types of committed reserve. Computational Economics 53 (1):1–26. doi:10.1007/s10614-017-9716-2.
   Web of Science ®Google Scholar
• Alferaidi, A., K. Yadav, Y. Alharbi, N. Razmjooy, W. Viriyasitavat, and K. Gulati, … G. Dhiman, G. Dhiman. 2022. Distributed deep CNN-LSTM model for intrusion detection method in IoT-based vehicles. Mathematical Problems in Engineering 2022:1–8. doi:10.1155/2022/3424819.
   Web of Science ®Google Scholar
• Arshaghi, A., N. Razmjooy, V. Estrela, P. Burdziakowski, D. Nascimento, A. Deshpande, and P. Patavardhan. 2020. Image transmission in UAV MIMO UWB-OSTBC system over Rayleigh channel using multiple description coding (MDC). doi:10.1049/PBCE120G.
   Google Scholar
• Bataineh, K., and A. Al Rabee. 2022. Design optimization of energy efficient residential buildings in Mediterranean region. Journal of Sustainable Development of Energy, Water and Environment Systems 10 (2):1–21. doi:10.13044/j.sdewes.d9.0385.
   Google Scholar
• Bednarek, M. 2012. Constructing ‘nerdiness’: Characterisation in the big bang theory. Multilingua 31 (2–3):199–229. doi:10.1515/multi-2012-0010.
   Web of Science ®Google Scholar
• Bo, G., P. Cheng, K. Dezhi, W. Xiping, L. Chaodong, G. Mingming, and N. Ghadimi. 2022. Optimum structure of a combined wind/photovoltaic/fuel cell-based on amended Dragon Fly Optimization Algorithm: A case study. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 44 (3):7109–31. doi:10.1080/15567036.2022.2105453.
   Web of Science ®Google Scholar
• Bohorquez-Ordenes, J., A. Tapia-Calderón, D. A. Vasco, O. Estuardo-Flores, and A. N. Haddad. 2021. Methodology to reduce cooling energy consumption by incorporating PCM envelopes: A case study of a dwelling in Chile. Building and Environment 206:108373. doi:10.1016/j.buildenv.2021.108373.
   Web of Science ®Google Scholar
• Cao, B., X. Ii, X. Zhang, B. Wang, Q. Zhang, and X. Wei. 2020. Designing uncorrelated address constrain for DNA storage by DMVO Algorithm. IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (2):866–77. doi:10.1109/TCBB.2020.3011582.
   Web of Science ®Google Scholar
• Cao, B., X. Zhang, S. Cui, and Q. Zhang. 2022. Adaptive coding for DNA storage with high storage density and low coverage. NPJ Systems Biology and Applications 8 (1):23. doi:10.1038/s41540-022-00233-w.
   PubMed Web of Science ®Google Scholar
• Cuevas, E., F., Fausto, and A. González. 2020. The Locust Swarm Optimization Algorithm. In New Advancements in Swarm Algorithms: Operators and Applications. Intelligent Systems Reference Library, Vol. 160. Cham: Springer. doi:10.1007/978-3-030-16339-6_5
   Google Scholar
• Dehghani, M., M. Ghiasi, T. Niknam, A. Kavousi-Fard, M. Shasadeghi, N. Ghadimi, and F. Taghizadeh-Hesary. 2021. Blockchain-based securing of data exchange in a power transmission system considering congestion management and social welfare. Sustainability 13 (1):90. doi:10.3390/su13010090.
   Web of Science ®Google Scholar
• de Jesus, M. A., V. V. Estrela, R. J. Aroma, N. Razmjooy, S. E. B. da Silva, A. C. de Almeida, and D. A. Nascimento. 2021. Building bridges and remediating illiteracy: How intergenerational cooperation foster better engineering professionals. In Advances in multidisciplinary medical technologies─ engineering, modeling and findings, eds. A. Khelassi and V. V. Estrela. Cham: Springer. doi:10.1007/978-3-030-57552-6_3.
   Google Scholar
• Ewees, A. A., M. A. El Aziz, and A. E. Hassanien. 2019. Chaotic multi-verse optimizer-based feature selection. Neural Computing and Applications 31 (4):991–1006. doi:10.1007/s00521-017-3131-4.
   Web of Science ®Google Scholar
• Fu, Y., M. Zhou, X. Guo, L. Qi, and K. Sedraoui. 2021. Multiverse optimization algorithm for stochastic biobjective disassembly sequence planning subject to operation failures. IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (2):1041–51. doi:10.1109/TSMC.2021.3049323.
   Web of Science ®Google Scholar
• Gao, Q. Q., Y. Q. Bai, and Y. R. Zhan. 2019. Quadratic kernel-free least square twin support vector machine for binary classification problems. Journal of the Operations Research Society of China 7 (4):539–59. doi:10.1007/s40305-018-00239-4.
   Web of Science ®Google Scholar
• Hu, Q., G. Zhao, J. Hu, and N. Razmjooy. 2023. Maximizing energy storage in microgrids with an amended multi-verse optimizer. Heliyon 9 (11):e21471. doi:10.1016/j.heliyon.2023.e21471.
   PubMed Web of Science ®Google Scholar
• Ibrahim, F., E. Z. Samsudin, A. R. Ishak, and J. Sathasivam. 2022. Hospital indoor air quality and its relationships with building design, building operation, and occupant-related factors: A mini-review. Frontiers in Public Health 10:1067764. doi:10.3389/fpubh.2022.1067764.
   PubMed Web of Science ®Google Scholar
• Ikram, R. M. A., H. L. Dai, A. A. Ewees, J. Shiri, O. Kisi, and M. Zounemat-Kermani. 2022. Application of improved version of Multi Verse Optimizer Algorithm for modeling solar radiation. Energy Reports 8:12063–80. doi:10.1016/j.egyr.2022.09.015.
   Web of Science ®Google Scholar
• Jalali, S. M. J., A. Khosravi, P. M., Kebria, R. Hedjam, and S. Nahavandi, “Autonomous robot navigation system using the evolutionary multi-verse optimizer algorithm,” 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), Bari, Italy, 2019. 1221–26. doi: 10.1109/SMC.2019.8914399.
   Google Scholar
• Jearsiripongkul, T., M. A. Karbasforoushha, M. Khajehzadeh, S. Keawsawasvong, and C. Thongchom. 2023. Office building envelope design optimization by Modified Competitive Search Algorithm for energy saving. Engineered Science 26:953. doi:10.30919/es953.
   Google Scholar
• Kanwal, S., M. T. Mehran, M. Hassan, M. Anwar, S. R. Naqvi, and A. H. Khoja. 2022. An integrated future approach for the energy security of Pakistan: Replacement of fossil fuels with syngas for better environment and socio-economic development. Renewable and Sustainable Energy Reviews 156:111978. doi:10.1016/j.rser.2021.111978.
   Web of Science ®Google Scholar
• Li, J., H. Lei, A. H. Alavi, and G. G. Wang. 2020. Elephant herding optimization: Variants, hybrids, and applications. Mathematics 8 (9):1415. doi:10.3390/math8091415.
   Web of Science ®Google Scholar
• Lin, Y. H., M. D. Lin, K. T. Tsai, M. J. Deng, and H. Ishii. 2021. Multi-objective optimization design of green building envelopes and air conditioning systems for energy conservation and CO2 emission reduction. Sustainable Cities and Society 64:102555. doi:10.1016/j.scs.2020.102555.
   Web of Science ®Google Scholar
• Luderer, G., S. Madeddu, L. Merfort, F. Ueckerdt, M. Pehl, and R. Pietzcker, … E. Kriegler, F. Schreyer, N. Bauer, L. Baumstark. 2022. Impact of declining renewable energy costs on electrification in low-emission scenarios. Nature Energy 7 (1):32–42. doi:10.1038/s41560-021-00937-z.
   Web of Science ®Google Scholar
• Mirjalili, S., S. M. Mirjalili, and A. Hatamlou. 2016. Multi-verse optimizer: A Nature-Inspired Algorithm for global optimization. Neural Computing and Applications 27 (2):495–513. doi:10.1007/s00521-015-1870-7.
   Web of Science ®Google Scholar
• Nejad, H. C., S. Tavakoli, N. Ghadimi, S. Korjani, S. Nojavan, and H. Pashaei-Didani. 2019. Reliability based optimal allocation of distributed generations in transmission systems under demand response program. Electric Power Systems Research 176:105952. doi:10.1016/j.epsr.2019.105952.
   Web of Science ®Google Scholar
• Priestly, S. E., K. Raimond, Y. Cohen, J. Brema, and D. J. Hemanth. 2023. Evaluation of a novel hybrid lion swarm optimization–AdaBoostRegressor model for forecasting monthly precipitation. Sustainable Computing: Informatics and Systems 39:100884. doi:10.1016/j.suscom.2023.100884.
   Google Scholar
• Qu, Y., D. Zhou, F. Xue, and L. Cui. 2021. Multi-factor analysis on thermal comfort and energy saving potential for PCM-integrated buildings in summer. Energy and Buildings 241:110966. doi:10.1016/j.enbuild.2021.110966.
   Web of Science ®Google Scholar
• Satola, D., A. B. Kristiansen, A. Houlihan-Wiberg, A. Gustavsen, T. Ma, and R. Z. Wang. 2020. Comparative life cycle assessment of various energy efficiency designs of a container-based housing unit in China: A case study. Building & Environment 186:107358. doi:10.1016/j.buildenv.2020.107358.
   Web of Science ®Google Scholar
• Schreiber, H., Z. Jandaghian, and B. Baskaran. 2021. Energy performance of residential roofs in Canada–identification of missing links for future research opportunities. Energy and Buildings 251:111382. doi:10.1016/j.enbuild.2021.111382.
   Web of Science ®Google Scholar
• Shabani, A., B. Asgarian, M. Salido, and S. A. Gharebaghi. 2020. Search and rescue optimization algorithm: A new optimization method for solving constrained engineering optimization problems. Expert Systems with Applications 161:113698. doi:10.1016/j.eswa.2020.113698.
   Web of Science ®Google Scholar
• Singh, A. 2023. Challenges in energy retrofitting of buildings. International Journal of Housing and Human Settlement Planning 9:10–16.
   Google Scholar
• Wang, X., J. S. Pan, and S. C. Chu. 2020. A parallel multi-verse optimizer for application in multilevel image segmentation. IEEE Access 8:32018–30. doi:10.1109/ACCESS.2020.2973411.
   Web of Science ®Google Scholar
• Wang, Y., and C. Wei. 2021. Design optimization of office building envelope based on quantum genetic algorithm for energy conservation. Journal of Building Engineering 35:102048. doi:10.1016/j.jobe.2020.102048.
   Web of Science ®Google Scholar
• Wang, Y., X. Yu, and X. Wang. 2023. A novel hybrid multi-verse optimizer with queuing search algorithm. Journal of Intelligent & Fuzzy Systems 44 (6):1–25. doi:10.3233/JIFS-223369.
   Web of Science ®Google Scholar
• Wu, Z., B. Cao, L. Hou, X. Hu, and B. Ma. 2022. Maximum power point tracking for photovoltaic system based on IMVO algorithm. Journal of Electrical Engineering & Technology 17 (5):2985–93. doi:10.1007/s42835-022-01038-x.
   Web of Science ®Google Scholar
• Xu, Y., G. Zhang, C. Yan, G. Wang, Y. Jiang, and K. Zhao. 2021. A two-stage multi-objective optimization method for envelope and energy generation systems of primary and secondary school teaching buildings in China. Building and Environment 204:108142. doi:10.1016/j.buildenv.2021.108142.
   Web of Science ®Google Scholar
• Ye, H., G. Jin, W. Fei, and N. Ghadimi. 2020. High step-up interleaved dc/dc converter with high efficiency. Energy sources, Part A: Recovery, Utilization, and Environmental Effects 1–20. doi:10.1080/15567036.2020.1716111.
   Web of Science ®Google Scholar
• Yuan, Z., W. Wang, H. Wang, and N. Ghadimi. 2020. Probabilistic decomposition‐based security constrained transmission expansion planning incorporating distributed series reactor. IET Generation, Transmission and Distribution 14 (17):3478–87. doi:10.1049/iet-gtd.2019.1625.
   Web of Science ®Google Scholar
• Zhang, G., C. Xiao, and N. Razmjooy. 2022. Optimal parameter extraction of PEM fuel cells by meta-heuristics. International Journal of Ambient Energy 43 (1):2510–19. doi:10.1080/01430750.2020.1745276.
   Web of Science ®Google Scholar
• Zhao, Z., Z. Zhou, Y. Lu, Z. Li, Q. Wei, and H. Xu. 2023. Predictions of the key operating parameters in waste incineration using big data and a multiverse optimizer deep learning model. Sustainability 15 (19):14530. doi:10.3390/su151914530.
   Web of Science ®Google Scholar
• Zhi, Y., W. Weiqing, C. Jing, and N. Razmjooy. 2022. Interval linear quadratic regulator and its application for speed control of DC motor in the presence of uncertainties. ISA Transactions 125:252–59. doi:10.1016/j.isatra.2021.07.004.
   PubMed Web of Science ®Google Scholar