Stochastic Optimization Seeing the Optimal for the Uncertain
Stochastic Optimization Algorithms have become essential tools in solving a wide range of difficult and critical optimization problems. Such methods are able to find the optimum solution of a problem with uncertain elements or to algorithmically incorporate uncertainty to solve a deterministic probl...
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| Kolejni autorzy: | |
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| Format: | Elektroniczne Rozdział |
| Język: | angielski |
| Wydane: |
IntechOpen
2011
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| Hasła przedmiotowe: | |
| Dostęp online: | DOAB: download the publication DOAB: description of the publication |
| Etykiety: |
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| Streszczenie: | Stochastic Optimization Algorithms have become essential tools in solving a wide range of difficult and critical optimization problems. Such methods are able to find the optimum solution of a problem with uncertain elements or to algorithmically incorporate uncertainty to solve a deterministic problem. They even succeed in fighting uncertainty with uncertainty. This book discusses theoretical aspects of many such algorithms and covers their application in various scientific fields. |
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| Opis fizyczny: | 1 electronic resource (490 p.) |
| ISBN: | 623 9789533078298 9789535155171 |
| Ograniczenie dostępu: | Open Access |