Abstract: Kriging models, also known as Gaussian process models, are widely used in surrogate-assisted evolutionary algorithms (SAEAs). However, the cubic time complexity of the standard Kriging ...
kriging is a basic implementation of kriging, a method of interpolation using Gaussian process regression. kriging supports ordinary kriging and universal kriging (using a polynomial drift term), and ...
Abstract: The probabilistic design of complex structure usually involves the features of numerous components, multiple disciplines, nonlinearity, and transients and, thus, requires lots of simulations ...
The mineral exploration activity consists of a set of successive stages that are interdependent on each other, in which the main goal is to discover and subsequently evaluate a mineral deposit for the ...
Zhang, Q., Gao, S., Wei, C., Zhao, Y., Nie, Y., Chen, Z., Chen, S., Su, Y., & Sun, H. (2025). GeoAnalystBench: A GeoAI benchmark for assessing large language models ...
†Department of Computing and Control Engineering, Faculty of Chemical Engineering, Institute of Chemical Technology, Technická 5. ‡Institute of Organic Chemistry and Biochemistry, Academy of Sciences ...
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