Multi-Objective Optimization

Evolutionary to Hybrid Framework

Autor: Paramartha Dutta, Jyotsna K. Mandal, Somnath Mukhopadhyay

Jazyk:

Väzba: Pevná

Vydavateľ: Springer Verlag, Singapore

Dostupnosť: Skladom u dodávateľa

Odosielame za 10-13 dní

159.67 €

This book brings together the latest findings on efficient solutions of multi/many-objective optimiz...

Informácie o knihe

Autor

Paramartha Dutta, Jyotsna K. Mandal, Somnath Mukhopadhyay

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

2018

Stránok

318

EAN

9789811314704

ISBN

9811314705

Enbook ID

19690548

Vydavateľ

Springer Verlag, Singapore

Hmotnosť

670

Rozmery

155 x 235 x 25

Kompletný popis

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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Multi-Objective Optimization

Evolutionary to Hybrid Framework

Informácie o knihe

Kompletný popis

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