Uneingeschränkter Zugang

Construction of an intelligent optimization model for water resource allocation under drought conditions


Zitieren

Sechi, G. M., & Sulis, A. (2007). Mixed simulation-optimization technique for complex water resource system analysis under drought conditions. Springer Netherlands. Search in Google Scholar

Vhatkar, K. N., & Bhole, G. P. (2020). Particle swarm optimisation with grey wolf optimisation for optimal container resource allocation in cloud. IET Networks, 9. Search in Google Scholar

Aydin, M. E., & Rüstem Kele. (2019). Energy Efficient Water Resource Management and Optimisation: A Multi-Agent Approach. 10th International Symposium on Manufacturing and Services, IMSS-19. Search in Google Scholar

Singh, G., Kumar, S., & Prakash, S. (2022). Enhancing qos with resource optimization technique based on harmony search in cloud environment. International journal of cloud applications and computing. Search in Google Scholar

Dessu, S. B., Melesse, A. M., Bhat, M. G., Rene′ M. Price, Seid, A. H., & Debebe, S. A., et al. (2019). Development and application of a priority rated optimization model (prom) for multi-sector water resource management systems. Elsevier. Search in Google Scholar

Li, H., & Zhu, H. (2020). Modified water wave optimization for energy-conscious dual-resource constrained flexible job shop scheduling. International Journal of Performability Engineering(6), 16. Search in Google Scholar

Sweeney, M. W., & Kabouris, J. C. (2017). Modeling, instrumentation, automation, and optimization of water resource recovery facilities. Water Environment Research, 89(10), 1299-1314. Search in Google Scholar

Gou, R., He, G., Yu, B., Xiao, Y., Luo, Z., & Xie, Y. (2022). An integrated energy system operation optimization model for water consumption control analysis in park scale from the perspective of energy–water nexus. Energies, 15. Search in Google Scholar

Raghu, K., & Reddy, P. C. S. (2022). Energy-efficient resource allocation for noma heterogeneous networks using feedback water cycle algorithm. International Journal of Modeling, Simulation, and Scientific Computing. Search in Google Scholar

Zeinoddini, S., Anvari, S., & Zahmatkesh, Z. (2019). Application of simulation-optimization approaches to assess the effect of climate and management scenarios on water resource system. Water Resources. Search in Google Scholar

Houshmand, K. D., Kazem, E., Alireza, F., Hossein, S. S., Davar, K., & Abbaspour, K. C. (2017). Sensitivity of calibrated parameters and water resource estimates on different objective functions and optimization algorithms. Water, 9(6), 384. Search in Google Scholar

Majdanishabestari, K., & Soleimani, M. (2019). Using simulation-optimization model in water resource management with consideration of environmental issues. International Journal of Engineering Science, 6(1), 15-25. Search in Google Scholar

Wicaksono, A., Jeong, G., & Kang, D. (2019). Water–energy–food nexus simulation: an optimization approach for resource security. Water, 11(4), 667. Search in Google Scholar

Yu, G. L. J. (2020). Assessment of water resource carrying capacity based on the chicken swarm optimization-projection pursuit model. Arabian journal of geosciences, 13(1). Search in Google Scholar

He, W., Yang, L., Li, M., Meng, C., & Li, Y. (2020). Application of an interval two-stage robust (itsr) optimization model for optimization of water resource distribution in the yinma river basin, jilin province, china. Water(10). Search in Google Scholar

Mousavi, S. Z., Akhondali, A. M., Naseri, A., Eslamian, S., & Saadati, S. (2021). Evaluation of whale and particle swarm optimisation algorithms in optimal allocation of water resources of irrigation network to maximise net benefit case study: salman farsi. International Journal of Hydrology Science and Technology, 12(3), 333-. Search in Google Scholar

De Oliveira, G. C., Bertone, E., & Stewart, R. A. (2022). Optimisation modelling tools and solving techniques for integrated precinct-scale energy–water system planning. Applied Energy, 318. Search in Google Scholar

Anand, J., Gosain, A. K., & Khosa, R. (2018). Optimisation of multipurpose reservoir operation by genetic algorithm for optimal operating policy (case study: ganga river basin). Preprints. Search in Google Scholar

Wang, J., Zhang, J., Cai, X., & Ma, Y. (2019). Demand estimation of water resources based on algorithm comparison. International Journal of Wireless and Mobile Computing, 16(2), 110. Search in Google Scholar

Li, C., Wang, H., & Wang, W. (2020). Decision preference-based artificial bee colony algorithm for many-objective optimal allocation of water resources. International Journal of Computing Science and Mathematics, 12(4), 364. Search in Google Scholar

Yarmohammadi, E., Yosefvand, F., Shabanlou, S., Izadbakhsh, M. A., & Rajabi, A. (2022). Optimal operation of water resources systems using moica algorithm with reservoir hedging approach in low-water regions*. Irrigation and Drainage, 71(2), 406-417. Search in Google Scholar

eISSN:
2444-8656
Sprache:
Englisch
Zeitrahmen der Veröffentlichung:
Volume Open
Fachgebiete der Zeitschrift:
Biologie, andere, Mathematik, Angewandte Mathematik, Allgemeines, Physik