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portada Multi-Objective Optimization: Evolutionary to Hybrid Framework
Type
Physical Book
Publisher
Author
Language
English
Pages
318
Format
Paperback
Dimensions
23.4 x 15.6 x 1.8 cm
Weight
0.47 kg.
ISBN13
9789811346392
Categories

Multi-Objective Optimization: Evolutionary to Hybrid Framework

Mandal, Jyotsna K. ; Mukhopadhyay, Somnath ; Dutta, Paramartha (Author) · Springer · Paperback

Multi-Objective Optimization: Evolutionary to Hybrid Framework - Mandal, Jyotsna K. ; Mukhopadhyay, Somnath ; Dutta, Paramartha

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Synopsis "Multi-Objective Optimization: Evolutionary to Hybrid Framework"

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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