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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Autres auteurs: Dritsas, Ioannis (Éditeur intellectuel)
Format: Électronique Chapitre de livre
Langue:anglais
Publié: IntechOpen 2011
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Résumé: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.
Description matérielle:1 electronic resource (490 p.)
ISBN:623
9789533078298
9789535155171
Accès:Open Access