Accelerated random search for constrained global optimization assisted by radial basis function surrogates

DOI10.1016/j.cam.2018.02.017zbMath1433.90127OpenAlexW2789948796WikidataQ130152292 ScholiaQ130152292MaRDI QIDQ1636769

Kayla Varela, Rommel G. Regis, Luigi Nuñez

Publication date: 12 June 2018

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2018.02.017

zbMATH Keywords

radial basis functionrandom searchconstrained global optimizationsurrogate modelexpensive optimization

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26) Derivative-free methods and methods using generalized derivatives (90C56)

Related Items (4)

Learning Enabled Constrained Black-Box Optimization ⋮ Surrogate optimization of deep neural networks for groundwater predictions ⋮ Application of adaptive reliability importance sampling-based extended domain PSO on single mode failure in reliability engineering ⋮ Filter-based stochastic algorithm for global optimization

Uses Software

• NOMAD
• SDPEN
• EGO
• ORBIT
• CONORBIT

Cites Work

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