Multi objective optimization: Evolutionary to hybrid framework edited by Jyotsna k mandal

By:

Mandal, Jyotsna Kumar

Contributor(s):

Material type: Text

TextPublication details: Singapore : Springer, 2018.Description: 318pISBN:

9789811314704

Subject(s):

DDC classification:

519.6 MAN

Summary: This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems.

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	Indian Institute of Management Visakhapatnam - Andhra University	519.6 MAN (Browse shelf(Opens below))	Available		001530

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This book brings together the latest findings on efficient solutions of multi/many-objective optimization problems from the leading researchers in the field. The focus is on solving real-world optimization problems using strategies ranging from evolutionary to hybrid frameworks, and involving various computation platforms. The topics covered include solution frameworks using evolutionary to hybrid models in application areas like Analytics, Cancer Research, Traffic Management, Networks and Communications, E-Governance, Quantum Technology, Image Processing, etc. As such, the book offers a valuable resource for all postgraduate students and researchers interested in exploring solution frameworks for multi/many-objective optimization problems.

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