Adaptive infill sampling criterion for multi-fidelity gradient-enhanced kriging model
Sign Up to like & getrecommendations! Published in 2020 at "Structural and Multidisciplinary Optimization"
DOI: 10.1007/s00158-020-02493-8
Abstract: Multi-fidelity surrogate (MFS) method is very promising for the optimization of complex problems. The optimization capability of MFS can be improved by infilling samples in the optimization process. Furthermore, once the gradient information is provided,… read more here.
Keywords: fidelity; multi fidelity; model; infill sampling ... See more keywords
An efficient global optimization method with multi-point infill sampling based on kriging
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DOI: 10.1080/0305215x.2021.1960985
Abstract: In general, infill sampling is the core process of efficient global optimization (EGO). Research on infill sampling with few points, high convergence speed and simplicity has received increasing at... read more here.
Keywords: global optimization; optimization method; efficient global; infill ... See more keywords
Global Optimization Algorithm Based on Kriging Using Multi-Point Infill Sampling Criterion and Its Application in Transportation System
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DOI: 10.3390/su131910645
Abstract: Public traffic has a great influence, especially with the background of COVID-19. Solving simulation-based optimization (SO) problem is efficient to study how to improve the performance of public traffic. Global optimization based on Kriging (KGO)… read more here.
Keywords: criterion; global optimization; infill sampling; optimization ... See more keywords
A Comparative Study of Infill Sampling Criteria for Computationally Expensive Constrained Optimization Problems
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DOI: 10.3390/sym12101631
Abstract: Engineering optimization problems often involve computationally expensive black-box simulations of underlying physical phenomena. This paper compares the performance of four constrained optimization algorithms relying on a Gaussian process model and an infill sampling criterion under… read more here.
Keywords: optimization; optimization problems; infill sampling; constrained optimization ... See more keywords