2 citations · 2 across the 2 of their papers we have counts for
3 papers
A One-Dimensional Local Tuning Algorithm for Solving GO Problems with Partially Defined Constraints
Yaroslav D. Sergeyev, Dmitri E. Kvasov, Falah M. H. Khalaf
Lipschitz one-dimensional constrained global optimization (GO) problems where both the objective function and constraints can be multiextremal and non-differentiable are considered…
Local tuning and partition strategies for diagonal GO methods
Dmitri E. Kvasov, Clara Pizzuti, Yaroslav D. Sergeyev
In this paper, global optimization (GO) Lipschitz problems are considered where the multi-dimensional multiextremal objective function is determined over a hyperinterval. An effici…
Software for Generation of Classes of Test Functions with Known Local and Global Minima for Global Optimization
Marco Gaviano, Dmitri E. Kvasov, Daniela Lera +1
A procedure for generating non-differentiable, continuously differentiable, and twice continuously differentiable classes of test functions for multiextremal multidimensional box-c…