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Stochastic Optimization : Seeing the Optimal for the Uncertain

By:

Dritsas, Ioannis [edt]

Contributor(s):

Dritsas, Ioannis [oth]

Material type: Article

ArticleLanguage: English Publication details: IntechOpen 2011Description: 1 electronic resource (490 p.)ISBN:

623
9789533078298
9789535155171

Subject(s):

Online resources:

Summary: 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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Item type	Home library	Collection	Call number	Materials specified	Status	Date due	Barcode
Electronic-Books	OPJGU Sonepat- Campus	E-Books Open Access			Available

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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.

Creative Commons https://creativecommons.org/licenses/by-nc-sa/3.0/ cc https://creativecommons.org/licenses/by-nc-sa/3.0/

English

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