Advances in Intelligent Modelling and Simulation

Langue : anglais

Edité par Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE, 2012

3642301533 / 9783642301537

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One of the most challenging issues in today's large-scale computational modeling and design is to effectively manage the complex distributed environments, such as computational clouds, grids, ad hoc, and P2P networks operating under  various  types of users with evolving relationships fraught with  uncertainties. In this context, the IT resources and services usually belong to different owners (institutions, enterprises, or individuals) and are managed by different administrators. Moreover, uncertainties are presented to the system at hand in various forms of information that are incomplete, imprecise, fragmentary, or overloading, which hinders in the full and precise resolve of the evaluation criteria, subsequencing and selection, and the assignment scores. Intelligent scalable systems enable the flexible routing and charging, advanced user interactions and the aggregation and sharing of geographically-distributed resources in modern large-scale systems. This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented.  All of those technologies have formed the foundation for the intelligent scalable computing that we know of today.  We believe that this book will serve as a reference for  students, researchers, and industry practitioners working  or  interested in joining interdisciplinary research in the areas of intelligent decision systems using emergentdistributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics. This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented.  All of those technologies have formed the foundation for the intelligent scalable computing that we know of today.  We believe that this book will serve as a reference for  students, researchers, and industry practitioners working  or  interested in joining interdisciplinary research in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics. …

N° de réf. du vendeur LU-9783642301537

Titre
Advances in Intelligent Modelling and Simulation
Auteur
Samee Ullah Khan
Éditeur
Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, DE
Année de publication
2012
État de l'article
New
Reliure
Hardback
Langue
anglais
ISBN à 10 chiffres
3642301533
ISBN à 13 chiffres
9783642301537
Édition
2012 ed.
Poids de l'article
703 grammes
Dimensions
15.88 x 2.54 x 23.5 cm

Rarewaves.com USA

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