Optimal design of labyrinth spillways using meta-heuristic algorithms

Hosseini, Khosrow; Nodoushan, Ehsan Jafari; Barati, Reza; Shahheydari, Hossein

doi:10.1007/s12205-015-0462-5

Cited by 60 publications

(16 citation statements)

References 34 publications

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“…They proposed an empirical model for these six angles, while in a real-world problem such as Ute dam's LW, the LW is designed with an intermediate α (33.9°) [39]. Furthermore, in a continuous space like the LW optimization problem [16], α could take any intermediate value. Thus, in a real-world problem, the α is not precisely equal to the experimented values.…”

Section: (B)mentioning

confidence: 99%

“…In the previous studies, the applied techniques have been evaluated by a random testing dataset extracted from the experimental data [14][15][16][17][18][19][20][21][22][23]. Consequently, this testing approach provides no clarification on the SCT's capability for estimating the intermediate values, which are not similar to either testing or training data.…”

Section: Introductionmentioning

confidence: 99%

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Interpolation Accuracy of Hybrid Soft Computing Techniques in Estimating Discharge Capacity of Triangular Labyrinth Weir

et al. 2021

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Section: (B)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Interpolation Accuracy of Hybrid Soft Computing Techniques in Estimating Discharge Capacity of Triangular Labyrinth Weir

et al. 2021

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“…For this purpose, GA and Differential Evolution (DE) algorithm were used to minimize the costs. The results indicated that GA and DE algorithm could, respectively, decrease by 16.6% and 19.3% the construction costs of a benchmark (Hosseini et al , 2016).…”

Section: Introductionmentioning

confidence: 99%

Construction cost minimisation of the stepped spillway using improved particle swarm optimisation and artificial bee colony algorithms

Jazayeri

Moeini

2020

Water & Environment J

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In this paper, the improved artificial bee colony (IABC) and improved particle swarm optimisation (IPSO) have been used for the optimal design of stepped spillway with the minimisation of construction cost as the energy dissipater structure for a dam project. Generally, the construction cost of this structure is the most expensive part of the project. However, traditional designing methods of stepped spillway such as the Vittal and Porey (VP) approach cannot find optimal dimensions of the stepped spillway with minimum cost. Therefore, the optimisation methods such as meta‐heuristic algorithms have been used. As a case study, Tehri dam’s stepped spillway in India has been considered here and the optimal dimensions of this spillway have been obtained using IPSO, IABC algorithms and the results have been compared with VP approach and other available results. Comparison of the results shows that when the three‐stepped spillway is considered, the results of IABC and IPSO algorithms are improved by 17.72% in comparison with VP results. In addition, when the four‐stepped spillway is considered, the results of IABC, IPSO algorithms are, respectively, improved by 16.47% and 16.53% in comparison with the VP results.

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“…Among these methods, fuzzy models of Takagi-Sugeno-Kang (TSK) as an adaptive neuro-fuzzy inference system (ANFIS) are known (Manu and Thalla 2017). To increase the speed and performance of ANFIS models, using optimization algorithms (Hosseini et al 2016;Gholami et al 2017b;Bonakdari and Zaji 2018;Karaboga and Kaya 2018) and evolutionary models (multi-objective optimization) (Dariane and Azimi 2016; Ahmadianfar et al 2017;Saba et al 2017;Karkevandi-Talkhooncheh et al 2017;Nouiri 2017) has been very common. Regarding the use of AI methods in prediction of the stable channel geometry dimensions (width, depth and slope), it can be noted to Madvar et al (2011), Taher-Shamsi et al (2013, Bonakdari and Gholami (2016), Gholami et al (2017a), Shaghaghi et al (2017Shaghaghi et al ( , 2018a.…”

Section: Introductionmentioning

confidence: 99%

Analyzing bank profile shape of alluvial stable channels using robust optimization and evolutionary ANFIS methods

et al. 2019

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In natural rivers and artificial channels in addition to the channel dimensions (widening, reduction in slope and depth in the channel banks), formed shape profile in the case that the sediment on the banks with no movement (thresholds state) is of considerable importance for engineers. To determine the bank shape profiles, various theoretical, empirical and statistical relations have been provided based on physical and numerical models by different researchers. In this study, a simple model of adaptive neuro-fuzzy inference systems (ANFIS) is combined with two algorithms of differential evolution (DE) and singular value decomposition value (SVD) and the performance of these models to predict the stable shape profiles of the channels is evaluated and compared. In this paper, the main goal is to assess extensively the effect of hybrid models based on optimized algorithms (ANFIS-DE) and multi-objective evolutionary algorithm (ANFIS-DE/SVD) in improvement of performance of ANFIS and ANFIS-DE models, respectively. Accordingly, the results assessment show that all three ANFIS, ANFIS-DE and ANFIS-DE/SVD models are perfectly able to predict shape profiles in accordance with the observed profiles for the threshold channels. Using optimized and evolutionary algorithms has a positive impact on the performance of simple model of ANFIS. As compared to the simple ANFIS model, ANFIS-DE approximately 10.1% and ANFIS-DE/SVD model 7.2% is improved compared to the ANFIS-DE model. The accuracy of ANFIS-DE/SVD model showed better performance as well about 18.6% compared to the simple ANFIS model. Therefore, it can be said that not only DE optimization algorithms have a significant impact on increasing the performance of a simple ANFIS model but also using evolutionary algorithms (ANFIS-DE/SVD) reduce the ANFIS-DE model error accordingly. Polynomial equations of bank profiles proposed by hybrid ANFIS models in the present study can be used in design and implementation of cross section of stable channels.

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Optimal design of labyrinth spillways using meta-heuristic algorithms

Cited by 60 publications

References 34 publications

Interpolation Accuracy of Hybrid Soft Computing Techniques in Estimating Discharge Capacity of Triangular Labyrinth Weir

Interpolation Accuracy of Hybrid Soft Computing Techniques in Estimating Discharge Capacity of Triangular Labyrinth Weir

Construction cost minimisation of the stepped spillway using improved particle swarm optimisation and artificial bee colony algorithms

Analyzing bank profile shape of alluvial stable channels using robust optimization and evolutionary ANFIS methods

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