Metaheuristics for big data / Clarisse Dhaenens and Laetitia Jourdan.

By:

Dhaenens, Clarisse [author]

Contributor(s):

Jourdan, Laetitia [author]

Material type: Text

TextSeries: Computer engineering series. Metaheuristics set ; v 5.Publication details: London ; Hoboken, NJ : ISTE/Wiley 2016.Description: xvi, 188 pages : illustrations ; 25 cmISBN:

9781848218062

Subject(s):

DDC classification:

519.6 23 D533

Contents:

1. Optimization and Big Data -- 2. Metaheuristics : A Short Introduction -- 3. Metaheuristics and Parallel Optimization -- 4. Metaheuristics and Clustering -- 5. Metaheuristics and Association Rules -- 6. Metaheuristics and (Supervised) Classification -- 7. On the Use of Metaheuristics for Feature Selection in Classification -- 8. Frameworks.

Summary: This book deals with the management and valuation of energy storage in electric power grids, highlighting the interest of storage systems in grid applications and developing management methodologies based on artificial intelligence tools. The authors highlight the importance of storing electrical energy, in the context of sustainable development, in "smart cities" and "smart transportation", and discuss multiple services that storing electrical energy can bring. Methodological tools are provided to build an energy management system storage following a generic approach. These tools are based on causal formalisms, artificial intelligence and explicit optimization techniques and are presented throughout the book in connection with concrete case studies.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode	Item holds
Books	ISI Library, Kolkata	519.6 D533 (Browse shelf(Opens below))	Available		138073

Total holds: 0

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Previous	519.6 C141 Optimization models /	519.6 C478 Second fporm of the law of error	519.6 C774 Gaussian law for any number of variables	519.6 D533 Metaheuristics for big data /	519.6 F535 Mathematical exmination of the methods of determining the accuracy of an observation by the mean error and by the mean square error	519.6 F612 Practical methods of optimization/	519.6 F947 Consistancy of independent countings as a criterion for completeness	Next

Includes bibliographical references and index.

1. Optimization and Big Data --
2. Metaheuristics : A Short Introduction --
3. Metaheuristics and Parallel Optimization --
4. Metaheuristics and Clustering --
5. Metaheuristics and Association Rules --
6. Metaheuristics and (Supervised) Classification --
7. On the Use of Metaheuristics for Feature Selection in Classification --
8. Frameworks.

This book deals with the management and valuation of energy storage in electric power grids, highlighting the interest of storage systems in grid applications and developing management methodologies based on artificial intelligence tools. The authors highlight the importance of storing electrical energy, in the context of sustainable development, in "smart cities" and "smart transportation", and discuss multiple services that storing electrical energy can bring. Methodological tools are provided to build an energy management system storage following a generic approach. These tools are based on causal formalisms, artificial intelligence and explicit optimization techniques and are presented throughout the book in connection with concrete case studies.

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