An efficient global optimization method with multi-point infill sampling based on kriging
出版年份 2021 全文链接
标题
An efficient global optimization method with multi-point infill sampling based on kriging
作者
关键词
-
出版物
ENGINEERING OPTIMIZATION
Volume -, Issue -, Pages 1-18
出版商
Informa UK Limited
发表日期
2021-08-17
DOI
10.1080/0305215x.2021.1960985
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Aerodynamic Shape Optimization of Natural-Laminar-Flow Wing Using Surrogate-Based Approach
- (2018) Zhong-Hua Han et al. AIAA JOURNAL
- Hybrid surrogate-based optimization using space reduction (HSOSR) for expensive black-box functions
- (2018) Huachao Dong et al. APPLIED SOFT COMPUTING
- Efficient Global Optimization of Actuator Based on a Surrogate Model Assisted Hybrid Algorithm
- (2018) Bo Liu et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Adaptive surrogate model based multiobjective optimization for coastal aquifer management
- (2018) Jian Song et al. JOURNAL OF HYDROLOGY
- A multi-fidelity shape optimization via surrogate modeling for civil structures
- (2018) Fei Ding et al. JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS
- Surrogate based multidisciplinary design optimization of lithium-ion battery thermal management system in electric vehicles
- (2017) Xiaobang Wang et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- A multi-point sampling method based on kriging for global optimization
- (2017) Xiwen Cai et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- A survey of adaptive sampling for global metamodeling in support of simulation-based complex engineering design
- (2017) Haitao Liu et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Balancing global and local search in parallel efficient global optimization algorithms
- (2016) Dawei Zhan et al. JOURNAL OF GLOBAL OPTIMIZATION
- Pseudo expected improvement criterion for parallel EGO algorithm
- (2016) Dawei Zhan et al. JOURNAL OF GLOBAL OPTIMIZATION
- Balancing diversity and performance in global optimization
- (2016) Yiming Zhou et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Sensitivity analysis and reliability based design optimization for high-strength steel tailor welded thin-walled structures under crashworthiness
- (2016) Xueguan Song et al. THIN-WALLED STRUCTURES
- An enhanced RBF-HDMR integrated with an adaptive sampling method for approximating high dimensional problems in engineering design
- (2015) Xiwen Cai et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Special Section on Multidisciplinary Design Optimization: Metamodeling in Multidisciplinary Design Optimization: How Far Have We Really Come?
- (2014) Felipe A. C. Viana et al. AIAA JOURNAL
- Efficient Global Optimization with Adaptive Target Setting
- (2014) Anirban Chaudhuri et al. AIAA JOURNAL
- Warpage optimization with dynamic injection molding technology and sequential optimization method
- (2014) Xinyu Wang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Trust Region Based Mode Pursuing Sampling Method for Global Optimization of High Dimensional Design Problems
- (2014) George H. Cheng et al. JOURNAL OF MECHANICAL DESIGN
- Integrating Least Square Support Vector Regression and Mode Pursuing Sampling Optimization for Crashworthiness Design
- (2011) Hu Wang et al. JOURNAL OF MECHANICAL DESIGN
- Convergence properties of the expected improvement algorithm with fixed mean and covariance functions
- (2010) Emmanuel Vazquez et al. JOURNAL OF STATISTICAL PLANNING AND INFERENCE
- Simulation and Optimization of Flow Control Strategies for Novel High-Lift Configurations
- (2009) M. Meunier AIAA JOURNAL
- Recent advances in surrogate-based optimization
- (2009) Alexander I.J. Forrester et al. PROGRESS IN AEROSPACE SCIENCES
- Performance study of mode-pursuing sampling method
- (2008) X. Duan et al. ENGINEERING OPTIMIZATION
- Multiobjective Optimization Problems With Complicated Pareto Sets, MOEA/D and NSGA-II
- (2008) Hui Li et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
Become a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get StartedAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started