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

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

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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