SMGO-Δ: Balancing caution and reward in global optimization with black-box constraints

An Efficient Constrained Global Optimization Algorithm with a Clustering-Assisted Multiobjective Infill Criterion Using Gaussian Process Regression for Expensive Problems

(2021) Puyu Jiang et al.   INFORMATION SCIENCES

Two decades of blackbox optimization applications

(2021) Stéphane Alarie et al.   EURO Journal on Computational Optimization

SMGO: A set membership approach to data-driven global optimization

(2021) Lorenzo Sabug et al.   AUTOMATICA

Surrogate-based optimisation using adaptively scaled radial basis functions

(2020) Magnus Urquhart et al.   APPLIED SOFT COMPUTING

Design of IMEXRK time integration schemes via Delaunay-based derivative-free optimization with nonconvex constraints and grid-based acceleration

(2020) Ryan Alimo et al.   JOURNAL OF GLOBAL OPTIMIZATION

Delaunay-based derivative-free optimization via global surrogates. Part III: nonconvex constraints

(2020) Ryan Alimo et al.   JOURNAL OF GLOBAL OPTIMIZATION

Global optimization via inverse distance weighting and radial basis functions

(2020) Alberto Bemporad   COMPUTATIONAL OPTIMIZATION AND APPLICATIONS

Expected improvement for expensive optimization: a review

(2020) Dawei Zhan et al.   JOURNAL OF GLOBAL OPTIMIZATION

Kriging-assisted Teaching-Learning-based Optimization (KTLBO) to Solve Computationally Expensive Constrained Problems

(2020) Huachao Dong et al.   INFORMATION SCIENCES

Filter-based adaptive kriging method for black-box optimization problems with expensive objective and constraints

(2019) Renhe Shi et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Predictive Entropy Search for Multi-objective Bayesian Optimization with Constraints

(2019) Eduardo C. Garrido-Merchán et al.   NEUROCOMPUTING

A feasible-ratio control technique for constrained optimization

(2019) Ruwang Jiao et al.   INFORMATION SCIENCES

Sequential model based optimization of partially defined functions under unknown constraints

(2019) Candelieri Antonio   JOURNAL OF GLOBAL OPTIMIZATION

A peak-over-threshold search method for global optimization

(2018) Siyang Gao et al.   AUTOMATICA

A hybrid GSA-GA algorithm for constrained optimization problems

(2018) Harish Garg   INFORMATION SCIENCES

Implementation of Cartesian grids to accelerate Delaunay-based derivative-free optimization

(2017) Pooriya Beyhaghi et al.   JOURNAL OF GLOBAL OPTIMIZATION

Learning a Nonlinear Controller From Data: Theory, Computation, and Experimental Results

(2016) Lorenzo Fagiano et al.   IEEE TRANSACTIONS ON AUTOMATIC CONTROL

A Kriging-based constrained global optimization algorithm for expensive black-box functions with infeasible initial points

(2016) Yaohui Li et al.   JOURNAL OF GLOBAL OPTIMIZATION

Taking the Human Out of the Loop: A Review of Bayesian Optimization

(2016) Bobak Shahriari et al.   PROCEEDINGS OF THE IEEE

Kriging-based infill sampling criterion for constraint handling in multi-objective optimization

(2015) Jesús Martínez-Frutos et al.   JOURNAL OF GLOBAL OPTIMIZATION

Derivative-free optimization for expensive constrained problems using a novel expected improvement objective function

(2014) Fani Boukouvala et al.   AICHE JOURNAL

Multidimensional global extremum seeking via the DIRECT optimisation algorithm

(2013) Sei Zhen Khong et al.   AUTOMATICA

Algorithm 909

(2011) Sébastien Le Digabel   ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE

An efficient multi-objective optimization method for black-box functions using sequential approximate technique

(2011) Guodong Chen et al.   APPLIED SOFT COMPUTING