A surrogate-assisted evolutionary algorithm with clustering-based sampling for high-dimensional expensive blackbox optimization
From MaRDI portal
Publication:6497044
DOI10.1007/S10898-023-01343-3MaRDI QIDQ6497044
Unnamed Author, Fu-Sheng Bai, Unnamed Author
Publication date: 6 May 2024
Published in: Journal of Global Optimization (Search for Journal in Brave)
Nonconvex programming, global optimization (90C26) Derivative-free methods and methods using generalized derivatives (90C56) Approximation methods and heuristics in mathematical programming (90C59)
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Algorithm AS 136: A K-Means Clustering Algorithm
- Constrained global optimization of expensive black box functions using radial basis functions
- Multivariate adaptive regression splines
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- A Stochastic Radial Basis Function Method for the Global Optimization of Expensive Functions
- Maximin Latin Hypercube Designs in Two Dimensions
- Least squares quantization in PCM
- A radial basis function method for global optimization
This page was built for publication: A surrogate-assisted evolutionary algorithm with clustering-based sampling for high-dimensional expensive blackbox optimization
