A review of statistical models for global optimization

DOI10.1007/BF00122051zbMath0768.90071MaRDI QIDQ1187839

Antanas Žilinskas

Publication date: 23 July 1992

Published in: Journal of Global Optimization (Search for Journal in Brave)

zbMATH Keywords

global optimizationstochastic modelsoptimal designrational choice

Mathematics Subject Classification ID

Nonlinear programming (90C30) Research exposition (monographs, survey articles) pertaining to operations research and mathematical programming (90-02)

Related Items (5)

Surrogate‐based methods for black‐box optimization ⋮ Designing an Optimal Search Algorithm with Respect to Prior Information ⋮ P-algorithm based on a simplicial statistical model of multimodal functions ⋮ Comparative Study of Different Penalty Functions and Algorithms in Survey Calibration ⋮ Convergence properties of the expected improvement algorithm with fixed mean and covariance functions

Cites Work

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• A probabilistic algorithm for global optimization
• Algorithm AS 133: Optimization of One-Dimensional Multimodal Functions

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