- Home
- Publications
- Publication Search
- Publication Details
Title
Expected improvement for expensive optimization: a review
Authors
Keywords
-
Journal
JOURNAL OF GLOBAL OPTIMIZATION
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2020-07-10
DOI
10.1007/s10898-020-00923-x
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Two-layer adaptive surrogate-assisted evolutionary algorithm for high-dimensional computationally expensive problems
- (2019) Zan Yang et al. JOURNAL OF GLOBAL OPTIMIZATION
- A comparative study of multi-objective expected improvement for aerodynamic design
- (2019) Lavi Rizki Zuhal et al. AEROSPACE SCIENCE AND TECHNOLOGY
- Adaptive modeling strategy for constrained global optimization with application to aerodynamic wing design
- (2019) N. Bartoli et al. AEROSPACE SCIENCE AND TECHNOLOGY
- A supermartingale approach to Gaussian process based sequential design of experiments
- (2019) Julien Bect et al. BERNOULLI
- On the choice of the low-dimensional domain for global optimization via random embeddings
- (2019) Mickaël Binois et al. JOURNAL OF GLOBAL OPTIMIZATION
- A Survey of Automatic Parameter Tuning Methods for Metaheuristics
- (2019) Changwu Huang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Evolutionary reliable regional Kriging surrogate for expensive optimization
- (2018) Suprayitno et al. ENGINEERING OPTIMIZATION
- Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method
- (2018) Mohamed Amine Bouhlel et al. ENGINEERING OPTIMIZATION
- Nash game based efficient global optimization for large-scale design problems
- (2018) Shengguan Xu et al. JOURNAL OF GLOBAL OPTIMIZATION
- Variable-fidelity expected improvement method for efficient global optimization of expensive functions
- (2018) Yu Zhang et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Sequential optimization using multi-level cokriging and extended expected improvement criterion
- (2018) Yixin Liu et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- A modified hypervolume based expected improvement for multi-objective efficient global optimization method
- (2018) Zheng Li et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Efficient global optimization of constrained mixed variable problems
- (2018) Julien Pelamatti et al. JOURNAL OF GLOBAL OPTIMIZATION
- A study of Nash-EGO algorithm for aerodynamic shape design optimizations
- (2018) Shengguan Xu et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Comparison of Kriging-based algorithms for simulation optimization with heterogeneous noise
- (2017) Hamed Jalali et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Expected Improvement of Penalty-Based Boundary Intersection for Expensive Multiobjective Optimization
- (2017) Nobuo Namura et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Expected Improvement Matrix-Based Infill Criteria for Expensive Multiobjective Optimization
- (2017) Dawei Zhan et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A multi-point sampling method based on kriging for global optimization
- (2017) Xiwen Cai et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Optimization of Multi-Fidelity Computer Experiments via the EQIE Criterion
- (2017) Xu He et al. TECHNOMETRICS
- Multiobjective optimization of expensive-to-evaluate deterministic computer simulator models
- (2016) Joshua Svenson et al. COMPUTATIONAL STATISTICS & DATA ANALYSIS
- Generalization of Pareto-Optimality for Many-Objective Evolutionary Optimization
- (2016) Chenwen Zhu et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- A New Dominance Relation-Based Evolutionary Algorithm for Many-Objective Optimization
- (2016) Yuan Yuan et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Bayesian Optimization in a Billion Dimensions via Random Embeddings
- (2016) Ziyu Wang et al. JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
- A Bayesian approach to constrained single- and multi-objective optimization
- (2016) Paul Feliot et al. JOURNAL OF GLOBAL 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
- Model inversion via multi-fidelity Bayesian optimization: a new paradigm for parameter estimation in haemodynamics, and beyond
- (2016) Paris Perdikaris et al. Journal of the Royal Society Interface
- On the Convergence Rates of Expected Improvement Methods
- (2016) Ilya O. Ryzhov OPERATIONS RESEARCH
- Taking the Human Out of the Loop: A Review of Bayesian Optimization
- (2016) Bobak Shahriari et al. PROCEEDINGS OF THE IEEE
- Remarks on multi-fidelity surrogates
- (2016) Chanyoung Park et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Efficient aerodynamic shape optimization of transonic wings using a parallel infilling strategy and surrogate models
- (2016) J. Liu et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Parallel surrogate-assisted global optimization with expensive functions – a survey
- (2016) Raphael T. Haftka et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Investigation on parallel algorithms in efficient global optimization based on multiple points infill criterion and domain decomposition
- (2016) Zheng Li et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Additive Gaussian Process for Computer Models With Qualitative and Quantitative Factors
- (2016) X. Deng et al. TECHNOMETRICS
- Modeling an Augmented Lagrangian for Blackbox Constrained Optimization
- (2016) Robert B. Gramacy et al. TECHNOMETRICS
- Efficient multi-criteria optimization on noisy machine learning problems
- (2015) Patrick Koch et al. APPLIED SOFT COMPUTING
- Analysis of multi-objective Kriging-based methods for constrained global optimization
- (2015) Cédric Durantin et al. COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
- A comparative study of expected improvement-assisted global optimization with different surrogates
- (2015) Hu Wang et al. ENGINEERING OPTIMIZATION
- Quantifying uncertainty on Pareto fronts with Gaussian process conditional simulations
- (2015) M. Binois et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
- Kriging-based infill sampling criterion for constraint handling in multi-objective optimization
- (2015) Jesús Martínez-Frutos et al. JOURNAL OF GLOBAL OPTIMIZATION
- A new expected-improvement algorithm for continuous minimax optimization
- (2015) Julien Marzat et al. JOURNAL OF GLOBAL 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
- An adaptive metamodel-based global optimization algorithm for black-box type problems
- (2014) Haoxiang Jie et al. ENGINEERING OPTIMIZATION
- A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization
- (2014) Zhiwei Feng et al. JOURNAL OF GLOBAL OPTIMIZATION
- Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for computationally expensive black-box global optimization problems
- (2014) Juliane Müller et al. JOURNAL OF GLOBAL OPTIMIZATION
- Methodology for Global Optimization of Computationally Expensive Design Problems
- (2014) Stefanos Koullias et al. JOURNAL OF MECHANICAL DESIGN
- Constrained Efficient Global Optimization for Pultrusion Process
- (2014) Cem C. Tutum et al. MATERIALS AND MANUFACTURING PROCESSES
- Bayesian Adaptive Reconstruction of Profile Optima and Optimizers
- (2014) David Ginsbourger et al. SIAM-ASA Journal on Uncertainty Quantification
- A framework for parallelized efficient global optimization with application to vehicle crashworthiness optimization
- (2013) Karim Hamza et al. ENGINEERING OPTIMIZATION
- Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization
- (2013) Ivo Couckuyt et al. JOURNAL OF GLOBAL OPTIMIZATION
- A comparison of two metamodel-based methodologies for multiple criteria simulation optimization using an injection molding case study
- (2013) María G. Villarreal-Marroquín et al. JOURNAL OF POLYMER ENGINEERING
- A benchmark of kriging-based infill criteria for noisy optimization
- (2013) Victor Picheny et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Quantile-Based Optimization of Noisy Computer Experiments With Tunable Precision
- (2013) Victor Picheny et al. TECHNOMETRICS
- Surrogate Modeling of Computer Experiments With Different Mesh Densities
- (2013) Rui Tuo et al. TECHNOMETRICS
- A Black Box Method for Gate Location Optimization in Plastic Injection Molding
- (2012) Zheng Li et al. ADVANCES IN POLYMER TECHNOLOGY
- Distance-based kriging relying on proxy simulations for inverse conditioning
- (2012) David Ginsbourger et al. ADVANCES IN WATER RESOURCES
- Hierarchical Kriging Model for Variable-Fidelity Surrogate Modeling
- (2012) Zhong-Hua Han et al. AIAA JOURNAL
- Infill sampling criteria for surrogate-based optimization with constraint handling
- (2012) J. M. Parr et al. ENGINEERING OPTIMIZATION
- Examples of inconsistency in optimization by expected improvement
- (2012) Dmitry Yarotsky JOURNAL OF GLOBAL OPTIMIZATION
- Efficient global optimization algorithm assisted by multiple surrogate techniques
- (2012) Felipe A. C. Viana et al. JOURNAL OF GLOBAL OPTIMIZATION
- Constrained efficient global optimization with support vector machines
- (2012) Anirban Basudhar et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- Expected improvement in efficient global optimization through bootstrapped kriging
- (2011) Jack P. C. Kleijnen et al. JOURNAL OF GLOBAL OPTIMIZATION
- Sequential design of computer experiments for the estimation of a probability of failure
- (2011) Julien Bect et al. STATISTICS AND COMPUTING
- Min–Median–Max metamodel-based unconstrained nonlinear optimization problems
- (2011) Hu Wang et al. STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
- A Simple Approach to Emulation for Computer Models With Qualitative and Quantitative Factors
- (2011) Qiang Zhou et al. TECHNOMETRICS
- A concurrent efficient global optimization algorithm applied to polymer injection strategies
- (2010) Bernardo Horowitz et al. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING
- Convergence properties of the expected improvement algorithm with fixed mean and covariance functions
- (2010) Emmanuel Vazquez et al. JOURNAL OF STATISTICAL PLANNING AND INFERENCE
- Branch and bound algorithms for maximizing expected improvement functions
- (2010) Mark Franey et al. JOURNAL OF STATISTICAL PLANNING AND INFERENCE
- Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model
- (2009) Qingfu Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Recent advances in surrogate-based optimization
- (2009) Alexander I.J. Forrester et al. PROGRESS IN AEROSPACE SCIENCES
- Global optimization of expensive-to-evaluate functions: an empirical comparison of two sampling criteria
- (2008) Julien Villemonteix et al. JOURNAL OF GLOBAL OPTIMIZATION
- An informational approach to the global optimization of expensive-to-evaluate functions
- (2008) Julien Villemonteix et al. JOURNAL OF GLOBAL OPTIMIZATION
- Discrete mixtures of kernels for Kriging-based optimization
- (2008) David Ginsbourger et al. QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
- A Knowledge-Gradient Policy for Sequential Information Collection
- (2008) Peter I. Frazier et al. SIAM JOURNAL ON CONTROL AND OPTIMIZATION
- Gaussian Process Models for Computer Experiments With Qualitative and Quantitative Factors
- (2008) Peter Z. G Qian et al. TECHNOMETRICS
- Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments
- (2008) Peter Z. G. Qian et al. TECHNOMETRICS
- Kriging metamodeling in simulation: A review
- (2007) Jack P.C. Kleijnen EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started