Balancing global and local search in parallel efficient global optimization algorithms
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Publication:522283
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
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Uses Software
Cites Work
- Unnamed Item
- Fast calculation of multiobjective probability of improvement and expected improvement criteria for Pareto optimization
- Differential evolution. A practical approach to global optimization. With CD-ROM.
- Efficient global optimization of expensive black-box functions
- Design and analysis of computer experiments. With comments and a rejoinder by the authors
- 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
- Efficient global optimization algorithm assisted by multiple surrogate techniques
- Global optimization of stochastic black-box systems via sequential kriging meta-models
- Global optimization
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