Multi-Objective Optimization

Evolutionary to Hybrid Framework

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

Jazyk:

Vazba: Pevná

Vydavatel: Springer Verlag, Singapore

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

3 654 Kč

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

Informace o knize

Autor

Paramartha Dutta, Jyotsna K. Mandal, Somnath Mukhopadhyay

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2018

Stránek

318

EAN

9789811314704

ISBN

9811314705

Enbook ID

19690548

Vydavatel

Springer Verlag, Singapore

Hmotnost

670

Rozměry

155 x 235 x 25

Kompletní 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

Informace o knize

Kompletní popis

Mohlo by vás zajímat

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