Search Results - Surrogate-based optimization algorithms

Model-and-search: a derivative-free local optimization algorithm.

Authors: Ma, Kaiwen Rios, Luis Miguel Zheng, Hua et al.

Source: Computational Optimization & Applications. Dec2025, Vol. 92 Issue 3, p889-921. 33p.

Subject Terms: *ALGORITHMS, *MATHEMATICAL analysis, *PROCESS optimization, SURROGATE-based optimization, OPTIMIZATION algorithms, QUADRATIC programming, LAGRANGE multiplier, SENSITIVITY analysis

Surrogate-Based Autotuning for Randomized Sketching Algorithms in Regression Problems

Authors: Cho, Younghyun Demmel, James Dereziński, Michał et al.

Source: SIAM Journal on Matrix Analysis and Applications. 46(2)

Subject Terms: 4901 Applied Mathematics (for-2020), 49 Mathematical Sciences (for-2020), randomized numerical linear algebra, sketching algorithm, autotuning, least squares problem, Bayesian optimization, 0102 Applied Mathematics (for), 0103 Numerical and Computational Mathematics (for), Numerical & Computational Mathematics (science-metrix), 4901 Applied mathematics (for-2020)

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Deep neural network-based surrogate-assisted evolutionary algorithm for expensive constrained optimization.

Authors: Wang, Yang Zou, Xinwen Wu, Yingmin

Source: Cluster Computing. Oct2025, Vol. 28 Issue 9, p1-16. 16p.

Subject Terms: *CONSTRAINED optimization, *SURROGATE-based optimization, *MULTIVARIATE analysis, *OPTIMIZATION algorithms, *CONSTRAINT satisfaction, *ARTIFICIAL neural networks, *EVOLUTIONARY algorithms

Efficient Surrogate-Based Optimization of Prefractionation Column Using Self-Adaptive Kriging Model with Modified Firefly Algorithm.

Authors: Huang, Yifan Jin, Qibing Wang, Bin

Source: Applied Sciences (2076-3417); Nov2025, Vol. 15 Issue 22, p11962, 19p

Subject Terms: SURROGATE-based optimization, KRIGING, DISTILLATION apparatus, OPTIMIZATION algorithms, COST effectiveness, PETROLEUM chemicals industry

A Surrogate-Assisted Multiconcept Optimization Framework for Real-World Engineering Design.

Authors: Kapoor, Ankush Ray, Tapabrata Jepson, Nigel et al.

Source: Journal of Mechanical Design. Dec2025, Vol. 147 Issue 12, p1-14. 14p.

Subject Terms: *SURROGATE-based optimization, *OPTIMIZATION algorithms, *RESOURCE allocation, *CONCEPTUAL design, *MATHEMATICAL optimization, *COMPUTER performance, *ENGINEERING design

Groundwater Pollution Source Identification via an Integrated Surrogate Model and Multiobjective Heuristic Optimization Algorithms.

Authors: Hu, Shengjie Xu, Zuorong Zuo, Rui et al.

Source: Water Resources Research; Oct2025, Vol. 61 Issue 10, p1-20, 20p

Subject Terms: GROUNDWATER pollution, SURROGATE-based optimization, METAHEURISTIC algorithms, MULTI-objective optimization, MACHINE learning, APPLIED sciences, APPROXIMATION theory, POLLUTION source apportionment

Convex Partition: A Bayesian Regression Tree for Black-box Optimisation.

Authors: de Paz, Erick G.G. Vaquera-Huerta, Humberto Albores-Velasco, Francisco Javier et al.

Source: Pattern Recognition Letters. Oct2025, Vol. 196, p344-350. 7p.

Subject Terms: *SURROGATE-based optimization, *REGRESSION trees, *CART algorithms, *OPTIMIZATION algorithms, *EXTREME value theory, *METAHEURISTIC algorithms

A data-driven framework for multi-parameter thermal model updating via adaptive surrogate modelling and hybrid algorithm: Application to aerospace multi-layer insulation structures.

Authors: Li, Yongzhi He, Erming Zhou, Chunping et al.

Source: Acta Astronautica. Oct2025, Vol. 235, p525-553. 29p.

Subject Terms: *OPTIMIZATION algorithms, *CONSTRAINT algorithms, *SURROGATE-based optimization, *COMPUTER simulation, *ALGORITHMS, *ADAPTIVE sampling (Statistics)

支持代理的元启发算法解决高维计算昂贵问题研究综述. (Chinese)

Alternate Title: Review of Surrogate-Assisted Meta-Heuristic Algorithms for High-Dimensional Computationally Expensive Optimization Problems. (English)

Authors: 王 红 康 玲 郭雨林

Source: Journal of Computer Engineering & Applications; 11/15/2025, Vol. 61 Issue 22, p75-91, 17p

Subject Terms: SURROGATE-based optimization, METAHEURISTIC algorithms, MATHEMATICAL optimization, EVOLUTIONARY algorithms

Surrogate-based automated hyperparameter optimization for expensive automotive crashworthiness optimization.

Authors: Long, Fu Xing van Stein, Niki Frenzel, Moritz et al.

Source: Structural & Multidisciplinary Optimization. Apr2025, Vol. 68 Issue 4, p1-19. 19p.

Subject Terms: *OPTIMIZATION algorithms, *COMPUTATIONAL mathematics, *DIFFERENTIAL evolution, *MATHEMATICAL functions, *MATHEMATICAL optimization

Applications of Optimization Methods in Automotive and Agricultural Engineering: A Review.

Authors: Zhao, Wenjing Duan, Libin Ma, Baolin et al.

Source: Mathematics (2227-7390); Sep2025, Vol. 13 Issue 18, p3018, 37p

Subject Terms: AUTOMOTIVE engineering, AGRICULTURAL engineering, SYSTEMS engineering, HEURISTIC algorithms, MATHEMATICAL optimization, SURROGATE-based optimization, STRUCTURAL optimization, RESOURCE allocation

A Systematic Approach to General Higher-Order Majorization-Minimization Algorithms for (Non)convex Optimization.

Authors: Necoara, Ion Lupu, Daniela

Source: SIAM Journal on Optimization; 2025, Vol. 35 Issue 4, p2372-2401, 30p

Subject Terms: MATHEMATICAL optimization, OPTIMIZATION algorithms, APPROXIMATION theory, LIPSCHITZ continuity, NONCONVEX programming, SURROGATE-based optimization

A dynamic aggregation strategy enhanced efficient global optimization algorithm for solving high-dimensional turbomachinery design problems.

Authors: Wang, Qineng Guo, Zhendong Chen, Yun et al.

Source: Engineering Optimization. Feb2025, Vol. 57 Issue 2, p514-542. 29p.

Subject Terms: *OPTIMIZATION algorithms, *GLOBAL optimization, *SURROGATE-based optimization, *ANALYSIS of variance, *COMPRESSORS, *KRIGING

Uncertainty-Based Design Optimization Framework Based on Improved Chicken Swarm Algorithm and Bayesian Optimization Neural Network.

Authors: Ji, Qiang Li, Ran Jing, Shi

Source: Applied Sciences (2076-3417); Sep2025, Vol. 15 Issue 17, p9671, 34p

Subject Terms: GLOBAL optimization, OPTIMIZATION algorithms, MATHEMATICAL optimization, ARTIFICIAL neural networks, MULTIDISCIPLINARY design optimization, SURROGATE-based optimization, APPROXIMATION theory

Surrogate-assisted evolutionary sampling particle swarm optimization for high-dimensional expensive optimization.

Authors: Huang, Kuihua Zhen, Huixiang Gong, Wenyin et al.

Source: Neural Computing & Applications. Sep2025, Vol. 37 Issue 27, p22689-22705. 17p.

Subject Terms: *PARTICLE swarm optimization, *SURROGATE-based optimization, *EVOLUTIONARY algorithms, *SAMPLING methods, *MATHEMATICAL optimization, *OPTIMIZATION algorithms, *BENCHMARK problems (Computer science)

Effectiveness of Surrogate-Based Optimization Algorithms for System Architecture Optimization

Authors: Bussemaker, Jasper Bartoli, Nathalie Lefebvre, Thierry et al.

Source: AIAA AVIATION 2021 FORUM

Subject Terms: system architecting, surrogate-based optimization, 0202 electrical engineering, electronic engineering, information engineering, rbf, kriging, mdo, 02 engineering and technology, optimization

Access URL: https://elib.dlr.de/143456/

Surrogate-assisted large-scale expensive optimization enhanced by local exploitation.

Authors: Zhao, Kaili Wang, Xilu Sun, Chaoli et al.

Source: Complex & Intelligent Systems; Dec2025, Vol. 11 Issue 12, p1-14, 14p

Subject Terms: SURROGATE-based optimization, PARTICLE swarm optimization, BENCHMARK problems (Computer science), GLOBAL optimization, MATHEMATICAL optimization, DIMENSIONAL reduction algorithms, OPTIMIZATION algorithms

Use of BOIvy Optimization Algorithm-Based Machine Learning Models in Predicting the Compressive Strength of Bentonite Plastic Concrete.

Authors: Huang, Shuai Li, Chuanqi Zhou, Jian et al.

Source: Materials (1996-1944); Jul2025, Vol. 18 Issue 13, p3123, 21p

Subject Terms: COMPRESSIVE strength, MACHINE learning, SURROGATE-based optimization, PREDICTION models, OPTIMIZATION algorithms, ARTIFICIAL intelligence, BENTONITE, CONCRETE

Multi-phase ensemble-RBF-assisted differential evolution for high-dimensional expensive optimization.

Authors: Ilchi Ghazaan, Majid Mirghazanfari, Parnian

Source: Cluster Computing; Nov2025, Vol. 28 Issue 12, p1-28, 28p

Subject Terms: RADIAL basis functions, DIFFERENTIAL evolution, SURROGATE-based optimization, OPTIMIZATION algorithms, MATHEMATICAL programming, MATHEMATICAL optimization, UNCERTAINTY (Information theory)

How to compare performance of robust design optimization algorithms, including a novel method

Authors: Persson, Johan Ölvander, Johan

Source: Artificial intelligence for engineering design, analysis and manufacturing. 31(3):286-297

Subject Terms: Optimization, Robust Design Optimization, Surrogate Models, Surrogate-Based Optimization

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