Surrogate-adjoint refine based global optimization method combining with multi-stage fuzzy clustering space reduction strategy for expensive problems-Reference-Cited by-同舟云学术

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Surrogate-adjoint refine based global optimization method combining with multi-stage fuzzy clustering space reduction strategy for expensive problems

Published:2021-12 Issue: Volume:113 Page:107883
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Wu Kai,Zhang Faping^ORCID,Zhang Yun He,Yan Yan,Butt Shahid Ikramullah

Publisher

Elsevier BV

Subject

Software

Reference49 articles.

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2. A review on design of experiments and surrogate models in aircraf real-time and many-query aerodynamic analyses;Yondo;Prog. Aerosp. Sci.,2018

3. A Gaussian process surrogate model assisted evolutionar algorithm for medium scale expensive optimization problems;Liu;Ieee Trans. Evol. Comput.,2014

4. A data-driven dynamics simulation framework fo railway vehicles;Nie;Veh. Syst. Dyn.,2018

5. Machine learning from computer simulations with applications in Rai vehicle dynamics;Taheri;Veh. Syst. Dyn.,2016

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