Fuzzy Multi-Objective Simulation-Optimization of Stepped Spillways Considering Flood Uncertainty

Mooselu, Mehrdad Ghorbani; Nikoo, Mohammad Reza; Rayani, Nooshin Bakhtiari; Izady, Azizallah

doi:10.1007/s11269-019-02263-2

Cited by 17 publications

(18 citation statements)

References 37 publications

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“…Wang and Liu (2012) improved the TOPSIS method using the Kullback-Leibler distance to evaluate the vulnerability to urban flood disasters in Harbin City, China. The TOPSIS method was also combined with other theories to analyze and explore the flooding impact (Liu et al 2018;Yang et al 2018;Alireza et al 2019;Mooselu et al 2019;Goodarzi, Banihabib, and Roozbahani 2019;Khosravi et al 2019).…”

Section: Introductionmentioning

confidence: 99%

Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia

Tan

et al. 2020

Ecosyst Health Sustain

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Instruction: The countries along the Belt and Road Initiative remain high exposure and vulnerability to climate extremes. Southeast Asia, a significant part of the Belt and Road Initiative, suffers a lot from flood disasters. This study assessed the flood disaster risk from 1990-2015 in all 11 Southeast Asian countries. A model integrating the coefficient of variation approach and the Technique for Order Preference by Similarity to Ideal Solution method was introduced to analyze the flood disaster data. Considering that populations living in areas where elevation is below 5 m and land area where elevation is below 5 m have reached 11.86% and 3.54% (2015), respectively, the two indicators were opted for to propose new metrics for flood disaster risk assessment. Outcomes: Our findings show that the flood disaster risk in Southeast Asia appeared very high during most of the study period. Indonesia had an extremely high flood disaster risk, followed by Vietnam, whereas Laos, Malaysia, Brunei, and Timor Leste had lower flood risks. The model introduced in this paper is quite simple and easy to understand, providing accessible flood risk information for decision makers. Conclusion:The results we obtained have practical implications for land use and investment activities in Southeast Asia.

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Section: Introductionmentioning

confidence: 99%

Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia

Tan

et al. 2020

Ecosyst Health Sustain

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“…In MOO problems, sources of uncertainty are design variables, environmental conditions (for example, flood flow for reservoir-related problems [118]), model parameters, etc. Integrating uncertainty in MOO problems is quite common.…”

Section: Uncertainty In Moomentioning

confidence: 99%

Development of a Generic Decision Tree for the Integration of Multi-Criteria Decision-Making (MCDM) and Multi-Objective Optimization (MOO) Methods under Uncertainty to Facilitate Sustainability Assessment: A Methodical Review

Ferdous,

Bensebaa,

Milani

et al. 2024

Sustainability

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The integration of Multi-Objective Optimization (MOO) and Multi-Criteria Decision-Making (MCDM) has gathered significant attention across various scientific research domains to facilitate integrated sustainability assessment. Recently, there has been a growing interest in hybrid approaches that combine MCDM with MOO, aiming to enhance the efficacy of the final decisions. However, a critical gap exists in terms of providing clear methodological guidance, particularly when dealing with data uncertainties. To address this gap, this systematic review is designed to develop a generic decision tree that serves as a practical roadmap for practitioners seeking to perform MOO and MCDM in an integrated fashion, with a specific focus on accounting for uncertainties. The systematic review identified the recent studies that conducted both MOO and MCDM in an integrated way. It is important to note that this review does not aim to identify the superior MOO or MCDM methods, but rather it delves into the strategies for integrating these two common methodologies. The prevalent MOO methods used in the reviewed articles were evolution-based metaheuristic methods. TOPSIS and PROMETHEE II are the prevalent MCDM ranking methods. The integration of MOO and MCDM methods can occur either a priori, a posteriori, or through a combination of both, each offering distinct advantages and drawbacks. The developed decision tree illustrated all three paths and integrated uncertainty considerations in each path. Finally, a real-world case study for the pulse fractionation process in Canada is used as a basis for demonstrating the various pathways presented in the decision tree and their application in identifying the optimized processing pathways for sustainably obtaining pulse protein. This study will help practitioners in different research domains use MOO and MCDM methods in an integrated way to identify the most sustainable and optimized system.

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“…Very few research works have been carried out using multi-objective optimization to simultaneously take into account both hydraulic and economic aspects. Example of such works, if not the only one, is presented in Mooselu et al (2019). It is based on coupling fuzzy multi-objective optimization with CFD simulation.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective optimization of stepped spillway and stilling basin dimensions

2021

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In the present paper, an optimization procedure is proposed for stepped spillway design dimensions, which leads to maximum energy dissipation rate and minimum construction cost considering independently the chute cost and stilling basin cost. Three independent objective functions are thus simultaneously satisfied. The procedure involves four main tools: The multi-objective particle swarm optimization method (MOPSO) to find Pareto solutions in one run, the K-means clustering algorithm to reduce the size of the obtained non-dominated solutions, the pseudo-weight vector approach (PWV) to facilitate the decision making and to select some adequate solutions, and finally, CFD simulations to analyze the retained optimal solutions. The suitability of the proposed procedure is tested through an example of application. As results, a set of twenty solutions with different satisfaction levels are found and compared to existing solutions. A multi-objective optimization problem may have many different solutions, the originality of the present work lies in the proposed procedure which explores several possible ones and reduces their number to give help for the decision making. Furthermore, an approximate expression of spillway total cost is also derived as a function of flow energy dissipation rate.

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Fuzzy Multi-Objective Simulation-Optimization of Stepped Spillways Considering Flood Uncertainty

Cited by 17 publications

References 37 publications

Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia

Flood risk assessment using the CV-TOPSIS method for the Belt and Road Initiative: an empirical study of Southeast Asia

Development of a Generic Decision Tree for the Integration of Multi-Criteria Decision-Making (MCDM) and Multi-Objective Optimization (MOO) Methods under Uncertainty to Facilitate Sustainability Assessment: A Methodical Review

Multi-objective optimization of stepped spillway and stilling basin dimensions

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