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http://localhost/handle/Hannan/1243
عنوان: | Multi-Objective Optimization |
عنوان دیگر: | Evolutionary to Hybrid Framework / |
پدیدآورنده: | Mandal, Jyotsna K. ;;Mukhopadhyay, Somnath. ;;Dutta, Paramartha. ; |
کلید واژه ها: | 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 ; |
تاریخ انتشار: | 2018 |
محل نشر: | Singapore : |
ناشر: | Springer Singapore : Imprint: Springer, |
چکیده: | 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. ; |
توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9789811314704. ; Printed edition: ; 9789811314728. ; |
آدرس: | http://localhost/handle/Hannan/1243 |
شابک : | 9789811314711 ; 9789811314704 (print) ; 9789811314728 (print) ; |
اطلاعات بیشتر: | XVI, 318 p. 90 illus., 51 illus. in color. ; online resource. ; |
مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9789811314704.pdf | 10.85 MB | Adobe PDF | مشاهده فایل |
عنوان: | Multi-Objective Optimization |
عنوان دیگر: | Evolutionary to Hybrid Framework / |
پدیدآورنده: | Mandal, Jyotsna K. ;;Mukhopadhyay, Somnath. ;;Dutta, Paramartha. ; |
کلید واژه ها: | 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 ; |
تاریخ انتشار: | 2018 |
محل نشر: | Singapore : |
ناشر: | Springer Singapore : Imprint: Springer, |
چکیده: | 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. ; |
توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9789811314704. ; Printed edition: ; 9789811314728. ; |
آدرس: | http://localhost/handle/Hannan/1243 |
شابک : | 9789811314711 ; 9789811314704 (print) ; 9789811314728 (print) ; |
اطلاعات بیشتر: | XVI, 318 p. 90 illus., 51 illus. in color. ; online resource. ; |
مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9789811314704.pdf | 10.85 MB | Adobe PDF | مشاهده فایل |
عنوان: | Multi-Objective Optimization |
عنوان دیگر: | Evolutionary to Hybrid Framework / |
پدیدآورنده: | Mandal, Jyotsna K. ;;Mukhopadhyay, Somnath. ;;Dutta, Paramartha. ; |
کلید واژه ها: | 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 ; |
تاریخ انتشار: | 2018 |
محل نشر: | Singapore : |
ناشر: | Springer Singapore : Imprint: Springer, |
چکیده: | 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. ; |
توضیحات : | SpringerLink (Online service) ; Printed edition: ; 9789811314704. ; Printed edition: ; 9789811314728. ; |
آدرس: | http://localhost/handle/Hannan/1243 |
شابک : | 9789811314711 ; 9789811314704 (print) ; 9789811314728 (print) ; |
اطلاعات بیشتر: | XVI, 318 p. 90 illus., 51 illus. in color. ; online resource. ; |
مجموعه(های): | مدیریت فناوری اطلاعات |
پیوست های این کاربرگه
فایل | توضیحات | اندازه | فرمت | |
---|---|---|---|---|
9789811314704.pdf | 10.85 MB | Adobe PDF | مشاهده فایل |