A stochastic method for global optimization
Copyright policy )A stochastic method for global optimization
A stochastic method for global optimization is described and evaluated. The method involves a combination of sampling, clustering and local search, and terminates with a range of confidence intervals on the value of the global optimum. Computational results on standard test functions are included as well.
- Erasmus University Rotterdam Netherlands
- Vrije Universiteit Amsterdam Netherlands
- School of Business and Economics, Econometrics and Operations Research Netherlands
- Technical University Eindhoven Netherlands
Numerical optimization and variational techniques, Numerical methods based on nonlinear programming, Classification and discrimination; cluster analysis (statistical aspects), global optimization, local search, random sampling, stochastic method, Numerical mathematical programming methods, confidence interval, Nonlinear programming, SDG 7 - Affordable and Clean Energy, comparison of algorithms, computational experience, clustering
Numerical optimization and variational techniques, Numerical methods based on nonlinear programming, Classification and discrimination; cluster analysis (statistical aspects), global optimization, local search, random sampling, stochastic method, Numerical mathematical programming methods, confidence interval, Nonlinear programming, SDG 7 - Affordable and Clean Energy, comparison of algorithms, computational experience, clustering
selected citations These citations are derived from selected sources.This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).187 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 0.1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
Citations provided by BIP!Popularity provided by BIP!