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http://localhost/handle/Hannan/1243
Title: | Multi-Objective Optimization |
Other Titles: | Evolutionary to Hybrid Framework / |
Authors: | Mandal, Jyotsna K. ;;Mukhopadhyay, Somnath. ;;Dutta, Paramartha. ; |
subject: | Computer Science;Mathematical optimization. ;;Engineering;Mathematics of Computing. ; http://scigraph.springernature.com/things/product-market-codes/I17001. ;;Optimization. ; http://scigraph.springernature.com/things/product-market-codes/M26008. ;;Computational Intelligence. ; http://scigraph.springernature.com/things/product-market-codes/T11014. ;;004.0151 ; 23 ;;QA76.9.M35 ; |
Year: | 2018 |
place: | Singapore : |
Publisher: | Springer Singapore : Imprint: Springer, |
Abstract: | 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. ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9789811314704. ; Printed edition: ; 9789811314728. ; |
URI: | http://localhost/handle/Hannan/1243 |
ISBN: | 9789811314711 ; 9789811314704 (print) ; 9789811314728 (print) ; |
More Information: | XVI, 318 p. 90 illus., 51 illus. in color. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9789811314704.pdf | 10.85 MB | Adobe PDF | Preview File |
Title: | Multi-Objective Optimization |
Other Titles: | Evolutionary to Hybrid Framework / |
Authors: | Mandal, Jyotsna K. ;;Mukhopadhyay, Somnath. ;;Dutta, Paramartha. ; |
subject: | Computer Science;Mathematical optimization. ;;Engineering;Mathematics of Computing. ; http://scigraph.springernature.com/things/product-market-codes/I17001. ;;Optimization. ; http://scigraph.springernature.com/things/product-market-codes/M26008. ;;Computational Intelligence. ; http://scigraph.springernature.com/things/product-market-codes/T11014. ;;004.0151 ; 23 ;;QA76.9.M35 ; |
Year: | 2018 |
place: | Singapore : |
Publisher: | Springer Singapore : Imprint: Springer, |
Abstract: | 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. ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9789811314704. ; Printed edition: ; 9789811314728. ; |
URI: | http://localhost/handle/Hannan/1243 |
ISBN: | 9789811314711 ; 9789811314704 (print) ; 9789811314728 (print) ; |
More Information: | XVI, 318 p. 90 illus., 51 illus. in color. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9789811314704.pdf | 10.85 MB | Adobe PDF | Preview File |
Title: | Multi-Objective Optimization |
Other Titles: | Evolutionary to Hybrid Framework / |
Authors: | Mandal, Jyotsna K. ;;Mukhopadhyay, Somnath. ;;Dutta, Paramartha. ; |
subject: | Computer Science;Mathematical optimization. ;;Engineering;Mathematics of Computing. ; http://scigraph.springernature.com/things/product-market-codes/I17001. ;;Optimization. ; http://scigraph.springernature.com/things/product-market-codes/M26008. ;;Computational Intelligence. ; http://scigraph.springernature.com/things/product-market-codes/T11014. ;;004.0151 ; 23 ;;QA76.9.M35 ; |
Year: | 2018 |
place: | Singapore : |
Publisher: | Springer Singapore : Imprint: Springer, |
Abstract: | 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. ; |
Description: | SpringerLink (Online service) ; Printed edition: ; 9789811314704. ; Printed edition: ; 9789811314728. ; |
URI: | http://localhost/handle/Hannan/1243 |
ISBN: | 9789811314711 ; 9789811314704 (print) ; 9789811314728 (print) ; |
More Information: | XVI, 318 p. 90 illus., 51 illus. in color. ; online resource. ; |
Appears in Collections: | مدیریت فناوری اطلاعات |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
9789811314704.pdf | 10.85 MB | Adobe PDF | Preview File |