A problem of one-dlmenstonal global optlmmatlon m the presence of noise is considered The approach is based on modeling the objective function as a standard Wiener process which is observed with independent Gausslan noise. An asymptotic bound for the average error ]s estimated for the nonadaptive st
On stochastic global optimization of one-dimensional functions
β Scribed by Kay Hamacher
- Publisher
- Elsevier Science
- Year
- 2005
- Tongue
- English
- Weight
- 288 KB
- Volume
- 354
- Category
- Article
- ISSN
- 0378-4371
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