A kriging-based constrained global optimization algorithm for expensive black-box functions with infeasible initial points
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Publication:506469
DOI10.1007/s10898-016-0455-zzbMath1359.90105OpenAlexW2476952809MaRDI QIDQ506469
Jianjun Zhao, Yaohui Li, Yi-Zhong Wu, Li-Ping Chen
Publication date: 1 February 2017
Published in: Journal of Global Optimization (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10898-016-0455-z
Related Items (4)
Accelerated random search for constrained global optimization assisted by radial basis function surrogates ⋮ Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method ⋮ Kriging-based unconstrained global optimization through multi-point sampling ⋮ SMGO-\(\Delta\): balancing caution and reward in global optimization with black-box constraints
Uses Software
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