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Multi-Objective Optimization

Evolutionary to Hybrid Framework

Paramartha Dutta

Jyotsna K. Mandal

Somnath Mukhopadhyay

Language

English

Book Hardback

Libristo code: 19690548

Publishers Springer Verlag, Singapore, August 2018

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

Libristo code: 19690548

398 b

164.74 €

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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.