Stochastic Optimization
Seeing the Optimal for the Uncertain
Contributor(s)
Dritsas, Ioannis (editor)
Language
EnglishAbstract
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.
Keywords
Mathematical modellingDOI
10.5772/623Webshop link
https://www.intechopen.com/booksISBN
9789533078298, 9789535155171Publisher
IntechOpenPublisher website
https://www.intechopen.com/Publication date and place
2011Imprint
IntechOpenClassification
Applied mathematics