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Multi-Objective Optimization - Evolutionary to Hybrid Framework (Hardcover, 1st ed. 2018) Loot Price: R4,277
Discovery Miles 42 770
Repayment Terms: R401 pm x 12*
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Multi-Objective Optimization - Evolutionary to Hybrid Framework (Hardcover, 1st ed. 2018): Jyotsna K Mandal, Somnath...

Multi-Objective Optimization - Evolutionary to Hybrid Framework (Hardcover, 1st ed. 2018)

Jyotsna K Mandal, Somnath Mukhopadhyay, Paramartha Dutta

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Loot Price R4,277 Discovery Miles 42 770 | Repayment Terms: R401 pm x 12*

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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.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Release date: August 2018
First published: 2018
Editors: Jyotsna K Mandal • Somnath Mukhopadhyay • Paramartha Dutta
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 318
Edition: 1st ed. 2018
ISBN-13: 978-981-13-1470-4
Categories: Books > Computing & IT > General theory of computing > Mathematical theory of computation
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
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LSN: 981-13-1470-5
Barcode: 9789811314704

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