Multilevel design optimization of hydraulic turbines based on hierarchical metamodel-assisted evolutionary algorithms

Kontoleontos, E; Zormpa, M.; Nichtawitz, S.; Mack-Sahl, D.; Weissenberger, S

doi:10.1088/1755-1315/240/2/022035

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…Various SAEA implementations have been explored in the literature, for example in [4], a multifdelity setup was proposed where several simulations of diferent accuracy were combined for design optimization of hydraulic turbines. In [5] the authors used an RBF-based SAEA for design optimization of a mechanical controller, while in [6] a multiobjective SAEA based on a Kriging surrogate was proposed.…”

Section: Literature Surveymentioning

confidence: 99%

An Analysis of the RBF Hyperparameter Impact on Surrogate-Assisted Evolutionary Optimization

Tenne

2022

Scientific Programming

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Computationally expensive optimization problems are often solved using surrogates and a common variant is the radial basis functions (RBF) model. It aggregates several basis functions which all depend on a hyperparameter affecting their individual outputs and consequentially the overall surrogate prediction. However, the optimal value of the hyperparameter is typically unknown and should therefore be calibrated. This raises the question how does the hyperparameter affect the overall optimization search effectiveness (and not just the stand-alone surrogate accuracy) and to what extent is such a calibration beneficial, which is an important consideration both for end-users and algorithm researchers alike. To rigorously address this issue this paper presents an analysis based on an extensive set of numerical experiments with an RBF surrogate-assisted evolutionary algorithm. It follows that the hyperparameter strongly affected performance and that the extent of its impact varied depending on the basis function, objective function modality, and problem dimension. Overall, calibration of the hyperparameter was typically highly beneficial to the search performance while dynamically optimizing the hyperparameter during the search yielded additional performance gains.

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Section: Literature Surveymentioning

confidence: 99%

An Analysis of the RBF Hyperparameter Impact on Surrogate-Assisted Evolutionary Optimization

Tenne

2022

Scientific Programming

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The bio-hill chart of a Kaplan turbine

Romero-Gómez

Weissenberger

2020

Journal of Ecohydraulics

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Multi Objective Enhancement Method for Embedded Software Quality of e-Commerce Platform Based on Firefly Algorithm Optimization

Jiang

Guo

et al. 2021

IEEE Access

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Embedded software is the basic guarantee for the safe and stable operation of e-commerce platform. In order to improve the embedded software quality of e-commerce platform, a multi-objective enhancement method based on firefly algorithm optimization is proposed. Based on the two-dimensional strengthening model of embedded software duration cost of e-commerce platform, the application effect of embedded software is quantified by setting multi-level index system, so that the application effect of embedded software is included in the strengthening target. On this basis, the multi-objective strengthening model of embedded software duration, cost and application effect is constructed. The firefly algorithm is used to solve the multi-objective enhancement model, and the firefly algorithm is optimized by constraint priority non inferior ranking. The optimal compromise solution is selected according to the fuzzy membership degree in fuzzy mathematics. Experimental results show that the proposed method can significantly improve the quality of embedded software of e-commerce platform.

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Multilevel design optimization of hydraulic turbines based on hierarchical metamodel-assisted evolutionary algorithms

Cited by 4 publications

References 6 publications

An Analysis of the RBF Hyperparameter Impact on Surrogate-Assisted Evolutionary Optimization

An Analysis of the RBF Hyperparameter Impact on Surrogate-Assisted Evolutionary Optimization

The bio-hill chart of a Kaplan turbine

Multi Objective Enhancement Method for Embedded Software Quality of e-Commerce Platform Based on Firefly Algorithm Optimization

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