| Multi-Objective Optimization: Evolutionary to Hybrid Framework Softcover Repri Edition Contributor(s): Mandal, Jyotsna K. (Editor), Mukhopadhyay, Somnath (Editor), Dutta, Paramartha (Editor) |
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ISBN: 9811346399 ISBN-13: 9789811346392 Publisher: Springer OUR PRICE: $170.99 Product Type: Paperback - Other Formats Published: December 2018 |
| Additional Information |
| BISAC Categories: - Computers | Data Processing - Mathematics | Applied - Computers | Intelligence (ai) & Semantics |
| Dewey: 004.015 |
| Physical Information: 0.7" H x 6.14" W x 9.21" (1.04 lbs) 318 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |