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Open AccessArticle

Assessment of Water Resources Management Strategy Under Different Evolutionary Optimization Techniques

Department of Civil & Environmental Engineering, University of Strathclyde, 75 Montrose St, Glasgow G1 1XJ, UK
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Water 2019, 11(10), 2021; https://doi.org/10.3390/w11102021
Received: 6 September 2019 / Revised: 26 September 2019 / Accepted: 27 September 2019 / Published: 28 September 2019
(This article belongs to the Special Issue Water Resources Management Strategy Under Global Change)
Competitive optimization techniques have been developed to address the complexity of integrated water resources management (IWRM) modelling; however, model adaptation due to changing environments is still a challenge. In this paper we employ multi-variable techniques to increase confidence in model-driven decision-making scenarios. Here, water reservoir management was assessed using two evolutionary algorithm (EA) techniques, the epsilon-dominance-driven self-adaptive evolutionary algorithm (ε-DSEA) and the Borg multi-objective evolutionary algorithm (MOEA). Many objective scenarios were evaluated to manage flood risk, hydropower generation, water supply, and release sequences over three decades. Computationally, the ε-DSEA’s results are generally reliable, robust, effective and efficient when compared directly with the Borg MOEA but both provide decision support model outputs of value. View Full-Text
Keywords: self-adaptive technique; many-objective; multi-variable; decision makers; reservoir operation strategy self-adaptive technique; many-objective; multi-variable; decision makers; reservoir operation strategy
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MDPI and ACS Style

Y. Al-Jawad, J.; M. Kalin, R. Assessment of Water Resources Management Strategy Under Different Evolutionary Optimization Techniques. Water 2019, 11, 2021. https://doi.org/10.3390/w11102021

AMA Style

Y. Al-Jawad J, M. Kalin R. Assessment of Water Resources Management Strategy Under Different Evolutionary Optimization Techniques. Water. 2019; 11(10):2021. https://doi.org/10.3390/w11102021

Chicago/Turabian Style

Y. Al-Jawad, Jafar; M. Kalin, Robert. 2019. "Assessment of Water Resources Management Strategy Under Different Evolutionary Optimization Techniques" Water 11, no. 10: 2021. https://doi.org/10.3390/w11102021

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