Multi-Objective Optimization Application in Water and Environmental Sciences
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-2519-1_3
Reference124 articles.
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2. Abdel-Basset, M., Mohamed, R., & Abouhawwash, M. (2021). Balanced multi-objective optimization algorithm using improvement based reference points approach. Swarm and Evolutionary Computation, 60(October 2020), 100791. https://doi.org/10.1016/j.swevo.2020.100791..
3. Abedinpourshotorban, H., Mariyam Shamsuddin, S., Beheshti, Z., & Jawawi, D. N. A. (2016). Electromagnetic field optimization: A physics-inspired metaheuristic optimization algorithm. Swarm and Evolutionary Computation, 26, 8–22. https://doi.org/10.1016/j.swevo.2015.07.002.
4. Aboutalebi, M., Bozorg Haddad, O., & Loáiciga, H. A. (2015). Optimal Monthly reservoir operation rules for hydropower generation derived with SVR-NSGAII. Journal of Water Resources Planning and Management, 141(11), 04015029. https://doi.org/10.1061/(asce)wr.1943-5452.0000553.
5. Aboutalebi, M., Bozorg-Haddad, O., & Loáiciga, H. A. (2017). Multiobjective design of water-quality monitoring networks in river-reservoir systems. Journal of Environmental Engineering, 143(1), 04016070. https://doi.org/10.1061/(asce)ee.1943-7870.0001155.
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