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Published in 2020 at "Journal of Global Optimization"
DOI: 10.1007/s10898-019-00854-2
Abstract: This paper introduces a Delaunay-based derivative-free optimization algorithm, dubbed $$\varDelta $$ Δ -DOGS( $$\varOmega $$ Ω ), for problems with both (a) a nonconvex, computationally expensive objective function f ( x ), and (b) nonlinear,…
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Keywords:
derivative free;
delaunay based;
based derivative;
optimization ... See more keywords