Multi-Objective Optimization: Evolutionary to Hybrid Framework eBook

Delivery: Can be download immediately after purchasing. For new customer, we need process for verification from 30 mins to 12 hours.
Version: PDF/EPUB. If you need EPUB and MOBI Version, please send contact us.
Compatible Devices: Can be read on any devices.

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.

This is a digital product.

Multi-Objective Optimization: Evolutionary to Hybrid Framework is written by Jyotsna K. Mandal and published by Springer. The Digital and eTextbook ISBNs for Multi-Objective Optimization are 9789811314711, 9811314713 and the print ISBNs are 9789811314704, 9811314705.