76 citations · 631 across the 35 of their papers we have counts for
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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…
Univariate global optimization with multiextremal non-differentiable constraints without penalty functions
Yaroslav D. Sergeyev
This paper proposes a new algorithm for solving constrained global optimization problems where both the objective function and constraints are one-dimensional non-differentiable mu…
Parallel Information Algorithm with Local Tuning for Solving Multidimensional GO Problems
Yaroslav D. Sergeyev
In this paper we propose a new parallel algorithm for solving global optimization (GO) multidimensional problems. The method unifies two powerful approaches for accelerating the se…
Two methods for solving optimization problems arising in electronic measurements and electrical engineering
Yaroslav D. Sergeyev, Pasquale Daponte, Domenico Grimaldi +1
In this paper we introduce a common problem in electronic measurements and electrical engineering: finding the first root from the left of an equation in the presence of some initi…
Index Branch-and-Bound Algorithm for Global Optimization with Multiextremal Constraints
Yaroslav D. Sergeyev, Domenico Famularo, Paolo Pugliese
In this paper, Lipschitz univariate constrained global optimization problems where both the objective function and constraints can be multiextremal are considered. The constrained…
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…