Application of Adaptive Algorithms in Smart Building Design Optimisation

[1] Zheng, F., Zecchin, A., Newman, J., Maier, H., & Dandy, G. (2017). An adaptive convergence-trajectory controlled ant colony optimization algorithm with application to water distribution system design problems. IEEE Transactions on Evolutionary Computation, 1-1. Search in Google Scholar

[2] Zhang, R., An, L., He, L., & Jiang, D. (2024). Adaptive flexible controller frequency optimization for reducing structural response of a 10 mw floating offshore wind turbine. International Journal of Structural Stability and Dynamics, 24(07). Search in Google Scholar

[3] Zhang, C., Liu, M., Zhong, P., Song, Q., Liang, Z., & Zhang, Z., et al. (2023). An adaptive balance optimization algorithm and its engineering application. Advanced engineering informatics. Search in Google Scholar

[4] Jan, Muhammad, Asif, Khanum, Rasheeda, & Adeeb, et al. (2017). Hybrid adaptive evolutionary algorithm based on decomposition. Applied Soft Computing. Search in Google Scholar

[5] Haro, E. H., Avalos, O., Camarena, O., & Cuevas, E. (2023). An accurate flexible process planning using an adaptive genetic algorithm. Neural computing & applications. Search in Google Scholar

[6] Shojaedini, M. S. R. (2019). Novel adaptive genetic algorithm sample consensus. Applied Soft Computing, 77. Search in Google Scholar

[7] Han, S., Zhang, P., Shi, F., & Wang, F. Y. (2017). An snr-adaptive relaying algorithm for multi-antenna cooperative networks. China Communications, 14(10), 228-236. Search in Google Scholar

[8] Naderi, E., Pourakbari-Kasmaei, M., Cerna, F. V., & Lehtonen, M. (2021). A novel hybrid self-adaptive heuristic algorithm to handle single- and multi-objective optimal power flow problems. International Journal of Electrical Power & Energy Systems, 125, 106492. Search in Google Scholar

[9] Sun, J., Liu, X., Bck, T., & Xu, Z. (2021). Learning adaptive differential evolution algorithm from optimization experiences by policy gradient. IEEE Transactions on Evolutionary Computation, PP(99), 1-1. Search in Google Scholar

[10] Hongyi, X., Chaozhu, Z., & Il-Min, K. (2018). Adaptive channelized greedy algorithm for analog signal compressive sensing. IEEE Transactions on Vehicular Technology, PP, 1-1. Search in Google Scholar

[11] Zhao, Z. (2017). Novel bim-based intelligent building design system paradigm. Revista de la Facultad de Ingenieria, 32(2), 137-146. Search in Google Scholar

[12] Zhao, Z. (2018). Research on energy saving design of intelligent building based on genetic algorithm. Wireless Personal Communications, 102(3), 1-9. Search in Google Scholar

[13] Sacks, R., Wang, Z., Ouyang, B., Utkucu, D., & Chen, S. (2022). Toward artificially intelligent cloud-based building information modelling for collaborative multidisciplinary design. Advanced engineering informatics. Search in Google Scholar

[14] Qiao, G. (2022). Intelligent building with multi-energy system planning method considering energy supply reliability. Journal of Interconnection Networks. Search in Google Scholar

[15] Yu, J., Chen, H., Wu, K., Zhou, T., Cai, Z., & Liu, F. (2021). Evichain: a scalable blockchain for accountable intelligent surveillance systems. International Journal of Intelligent Systems. Search in Google Scholar

[16] Han, Y., Tang, W., Jin, S., Wen, C., & Ma, X. (2019). Large intelligent surface-assisted wireless communication exploiting statistical csi. IEEE Transactions on Vehicular Technology, PP(99), 1-1. Search in Google Scholar