Multi-Objective Optimization

Evolutionary to Hybrid Framework

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

Език:

Корици: С твърди корици

Издател: Springer Verlag, Singapore

Наличност: Външен склад

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168.14 € 328.85 лв

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

Информация за книгата

Автор

Paramartha Dutta, Jyotsna K. Mandal, Somnath Mukhopadhyay

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2018

страници

318

EAN

9789811314704

ISBN

9811314705

Enbook ID

19690548

Издател

Springer Verlag, Singapore

Теглоt

670

Размери

155 x 235 x 25

Пълно описание

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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