Assessment of water resources management strategy under different evolutionary optimization techniques

Al-Jawad, Jafar Y. and Kalin, Robert M. (2019) Assessment of water resources management strategy under different evolutionary optimization techniques. Water, 11 (10). 2021. ISSN 2073-4441 (https://doi.org/10.3390/w11102021)

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Abstract

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 (∈-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 ∈-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.

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