Description: Multi-Objective Optimization Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Evolutionary to Hybrid Framework Author(s): Jyotsna K. Mandal, Somnath Mukhopadhyay, Paramartha Dutta Format: Paperback Publisher: Springer Verlag, Singapore, Singapore Imprint: Springer Verlag, Singapore ISBN-13: 9789811346392, 978-9811346392 Synopsis 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.
Price: 111.54 GBP
Location: Aldershot
End Time: 2024-11-29T09:12:14.000Z
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Book Title: Multi-Objective Optimization
Number of Pages: 318 Pages
Language: English
Publication Name: Multi-Objective Optimization: Evolutionary to Hybrid Framework
Publisher: Springer Verlag, Singapore
Publication Year: 2018
Subject: Computer Science, Mathematics
Item Height: 235 mm
Item Weight: 516 g
Type: Textbook
Author: Somnath Mukhopadhyay, Paramartha Dutta, Jyotsna K. Mandal
Item Width: 155 mm
Format: Paperback
