A one-dimensional local tuning algorithm for solving GO problems with partially defined constraints

DOI10.1007/s11590-006-0015-4zbMath1122.90076arXiv1107.5280OpenAlexW1991857683MaRDI QIDQ2458907

Yaroslav D. Sergeyev, Falah M. H. Khalaf, Dmitri E. Kvasov

Publication date: 5 November 2007

Published in: Optimization Letters (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1107.5280

zbMATH Keywords

global optimizationgeometric algorithmslocal tuningmultiextremal constraintsindex scheme

Mathematics Subject Classification ID

Nonlinear programming (90C30)

Related Items

A Search Algorithm for the Global Extremum of a Discontinuous Function, Metaheuristic vs. deterministic global optimization algorithms: the univariate case, Novel local tuning techniques for speeding up one-dimensional algorithms in expensive global optimization using Lipschitz derivatives, Operational zones for comparing metaheuristic and deterministic one-dimensional global optimization algorithms, Learning Enabled Constrained Black-Box Optimization, Sequential model based optimization of partially defined functions under unknown constraints, Derivative-free local tuning and local improvement techniques embedded in the univariate global optimization, Parallel global search algorithm with local tuning for solving mixed-integer global optimization problems, A new \texttt{DIRECT-GLh} algorithm for global optimization with hidden constraints

Uses Software

• Global Optimization Toolbox For Maple

Cites Work

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