Overview

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.

ISBN-13

9789811346392

ISBN-10

9811346399

Weight

1.14 Pounds

Dimensions

6.10 x 0.76 x 9.25 In

List Price

$179.99

Edition

1st Edition

Format

Paperback

Language

English

Pages

xvi, 318 pages

Publisher

Springer

Published On

2018-12-23



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