Synthesis of the \(\beta\)-distribution as an aid to stochastic global optimization
DOI10.1016/j.csda.2006.12.011zbMath1452.90297OpenAlexW1973018864WikidataQ57932068 ScholiaQ57932068MaRDI QIDQ1020794
Publication date: 2 June 2009
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2006.12.011
global optimizationcontinuous variablehybridprobabilistic adaptation\(\beta\)-distributionpopulation set
Computational methods for problems pertaining to statistics (62-08) Numerical mathematical programming methods (65K05) Applications of mathematical programming (90C90) Nonlinear programming (90C30) Stochastic programming (90C15)
Related Items (3)
Cites Work
- A numerical evaluation of several stochastic algorithms on selected continuous global optimization test problems
- Global optimization by controlled random search
- Optimization technique based on learning automata
- Differential evolution -- a simple and efficient heuristic for global optimization over continuous spaces
- Application of stochastic global optimization algorithms to practical problems
- Stochastic algorithms in nonlinear regression
- Population set-based global optimization algorithms: some modifications and numerical studies
- `` Direct Search Solution of Numerical and Statistical Problems
- A controlled random search procedure for global optimisation
- Generating beta variates with nonintegral shape parameters
- Modified controlled random search algorithms
- A Simplex Method for Function Minimization
- Global optimization
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