Reducing transformation and global optimization
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Publication:434589
DOI10.1016/j.amc.2011.11.053zbMath1256.65054OpenAlexW2060085572MaRDI QIDQ434589
Djaouida Guettal, Abdelkader Ziadi
Publication date: 16 July 2012
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2011.11.053
global optimizationconstrained optimizationnumerical experimentsdimension reductionreducing transformationalienor methodPiyavskii's algorithm
Numerical mathematical programming methods (65K05) Applications of mathematical programming (90C90) Nonconvex programming, global optimization (90C26)
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Cites Work
- Unnamed Item
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- Improved versions of the LEDE algorithm for constrained global optimization
- Global optimization of generalized linear fractional programming with nonlinear constraints
- A revised cut-peak function method for box constrained continuous global optimization
- A general class of branch-and-bound methods in global optimization with some new approaches for concave minimization
- Approximation of a several variables function by a one variable function and application to global optimization
- Space-filling curves
- Characterization and generation of \(\alpha\)-dense curves
- Functional equations generating space-densifying curves
- Parallelization of the global extremum searching process
- A new extension of Piyavskii's method to Hölder functions of several variables
- Stopping rules for box-constrained stochastic global optimization
- A New Method for Global Optimisation (Alienor)
- Generation of α‐dense curves in a cube of IRn
- Generation of α‐dense curves and application to global optimization
- The existence of α‐dense curves with minimal length in a metric space
- A Sequential Method Seeking the Global Maximum of a Function
- Global optimization: the Alienor mixed method with Piyavskii‐Shubert technique
- Global optimization: A new variant of the Alienor method
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