Please use this identifier to cite or link to this item: 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:
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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 SizeFormat 
9789811314704.pdf10.85 MBAdobe PDFThumbnail
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 SizeFormat 
9789811314704.pdf10.85 MBAdobe PDFThumbnail
Preview File