Sequential approximate optimization with adaptive parallel infill strategy assisted by inaccurate Pareto front

DOI10.1080/10556788.2022.2091560OpenAlexW4285796330MaRDI QIDQ5058417

Wenjie Wang, Pengyu Wang, Z. Wu, Jiawei Yang, Fei Xiao, Wei-Hua Zhang

Publication date: 20 December 2022

Published in: Optimization Methods and Software (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/10556788.2022.2091560

zbMATH Keywords

surrogate-based optimizationbatch samplinginaccurate Pareto frontparallel adaptive infilling strategy

Mathematics Subject Classification ID

Multi-objective and goal programming (90C29)

Uses Software

• MLMSRBF
• EGO

Cites Work

• A new sequential optimal sampling method for radial basis functions
• Efficient global optimization of expensive black-box functions
• A taxonomy of global optimization methods based on response surfaces
• Development of an adaptive infill criterion for constrained multi-objective asynchronous surrogate-based optimization
• A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions
• Parallel Stochastic Global Optimization Using Radial Basis Functions
• A Novel Hybrid Sequential Design Strategy for Global Surrogate Modeling of Computer Experiments
• A surrogate-based optimization method with RBF neural network enhanced by linear interpolation and hybrid infill strategy
• Surrogate-based optimization with adaptive parallel infill strategy enhanced by inaccurate multi-objective search

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