Hidden Bibliographic Details
| Other authors / contributors: | Mandal, Jyotsna Kumar, 1960- editor.
Mukhopadhyay, Somnath, 1983- editor.
Dutta, Paramartha, editor.
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| ISBN: | 9789811314711
9811314713
9789811314728
9811314721
9789811346392
9811346399
9789811314704
9811314705
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| Digital file characteristics: | text file PDF
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| Notes: | Online resource; title from digital title page (viewed on September 14, 2018).
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| Summary: | 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.
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| Other form: | Print version: Multi-objective optimization. Singapore : Springer, [2018] 9811314705 9789811314704
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| Standard no.: | 10.1007/978-981-13-1471-1
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