Balancing global and local search in parallel efficient global optimization algorithms

DOI10.1007/S10898-016-0449-XzbMath1369.90139OpenAlexW2505710690MaRDI QIDQ522283

Jiachang Qian, Dawei Zhan, Yuansheng Cheng

Publication date: 28 April 2017

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

Full work available at URL: https://doi.org/10.1007/s10898-016-0449-x

zbMATH Keywords

parallel computingsurrogate-based optimizationefficient global optimizationmulti-modal optimization

Mathematics Subject Classification ID

Nonconvex programming, global optimization (90C26)

Related Items (5)

An improved mode-pursing sampling method that balances global exploration and local exploitation based on kriging ⋮ An efficient global optimization method with multi-point infill sampling based on kriging ⋮ Expected improvement for expensive optimization: a review ⋮ Nash game based efficient global optimization for large-scale design problems ⋮ Interval uncertainty propagation by a parallel Bayesian global optimization method

Uses Software

• DACE
• SURROGATES
• EGO
• GitHub

Cites Work

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• A taxonomy of global optimization methods based on response surfaces
• A multiobjective optimization based framework to balance the global exploration and local exploitation in expensive optimization
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• Global optimization

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