Multi-Objective Optimization

Evolutionary to Hybrid Framework

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

Limbă:

Legare: Copertă tare

Editura: Springer Verlag, Singapore

Disponibilitate: În depozitul extern

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

Informații despre carte

Autor

Paramartha Dutta, Jyotsna K. Mandal, Somnath Mukhopadhyay

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2018

Pagini

318

EAN

9789811314704

ISBN

9811314705

Enbook ID

19690548

Editura

Springer Verlag, Singapore

Greutate

670

Dimensiuni

155 x 235 x 25

Descriere completă

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

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