جهت دسترسی به کاربرگه ی زیر، از این لینک استفاده کنید. http://localhost/handle/Hannan/493
عنوان: Foraging-Inspired Optimisation Algorithms
پدیدآورنده: Brabazon, Anthony. ;;McGarraghy, Seeen. ;
کلید واژه ها: Information theory. ;;Engineering;Artificial Intelligence;Operations research. ;;Theory of Computation. ; http://scigraph.springernature.com/things/product-market-codes/I16005. ;;Computational Intelligence. ; http://scigraph.springernature.com/things/product-market-codes/T11014. ;;Artificial Intelligence and Robotics;Operations Research, Management Science. ; http://scigraph.springernature.com/things/product-market-codes/M26024. ;;Operations Research/Decision Theory. ; http://scigraph.springernature.com/things/product-market-codes/521000. ;;004.0151 ; 23 ;
تاریخ انتشار: 2018
محل نشر: Cham :
ناشر: Springer International Publishing :
Imprint: Springer,
فروست / شماره : Natural Computing Series, ; 1619-7127. ;
Natural Computing Series, ; 1619-7127. ;
چکیده: This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for optimization, they then explain the techniques inspired by the behaviors of vertebrates, invertebrates, and non-neuronal organisms, and they then discuss algorithms based on formal models of foraging, how to evolve a foraging strategy, and likely future developments. No prior knowledge of natural computing is assumed. This book will be of particular interest to graduate students, academics and practitioners in computer science, informatics, data science, management science, and other application domains. ;
توضیحات : 


SpringerLink (Online service) ;
Printed edition: ; 9783319591551. ;
QA75.5-76.95 ;

Printed edition: ; 9783319591575. ;
آدرس: http://localhost/handle/Hannan/493
شابک : 9783319591568 ;
9783319591551 (print) ;
9783319591575 (print) ;
اطلاعات بیشتر: XVIII, 478 p. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9783319591551.pdf7.8 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Foraging-Inspired Optimisation Algorithms
پدیدآورنده: Brabazon, Anthony. ;;McGarraghy, Seeen. ;
کلید واژه ها: Information theory. ;;Engineering;Artificial Intelligence;Operations research. ;;Theory of Computation. ; http://scigraph.springernature.com/things/product-market-codes/I16005. ;;Computational Intelligence. ; http://scigraph.springernature.com/things/product-market-codes/T11014. ;;Artificial Intelligence and Robotics;Operations Research, Management Science. ; http://scigraph.springernature.com/things/product-market-codes/M26024. ;;Operations Research/Decision Theory. ; http://scigraph.springernature.com/things/product-market-codes/521000. ;;004.0151 ; 23 ;
تاریخ انتشار: 2018
محل نشر: Cham :
ناشر: Springer International Publishing :
Imprint: Springer,
فروست / شماره : Natural Computing Series, ; 1619-7127. ;
Natural Computing Series, ; 1619-7127. ;
چکیده: This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for optimization, they then explain the techniques inspired by the behaviors of vertebrates, invertebrates, and non-neuronal organisms, and they then discuss algorithms based on formal models of foraging, how to evolve a foraging strategy, and likely future developments. No prior knowledge of natural computing is assumed. This book will be of particular interest to graduate students, academics and practitioners in computer science, informatics, data science, management science, and other application domains. ;
توضیحات : 


SpringerLink (Online service) ;
Printed edition: ; 9783319591551. ;
QA75.5-76.95 ;

Printed edition: ; 9783319591575. ;
آدرس: http://localhost/handle/Hannan/493
شابک : 9783319591568 ;
9783319591551 (print) ;
9783319591575 (print) ;
اطلاعات بیشتر: XVIII, 478 p. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9783319591551.pdf7.8 MBAdobe PDFتصویر
مشاهده فایل
عنوان: Foraging-Inspired Optimisation Algorithms
پدیدآورنده: Brabazon, Anthony. ;;McGarraghy, Seeen. ;
کلید واژه ها: Information theory. ;;Engineering;Artificial Intelligence;Operations research. ;;Theory of Computation. ; http://scigraph.springernature.com/things/product-market-codes/I16005. ;;Computational Intelligence. ; http://scigraph.springernature.com/things/product-market-codes/T11014. ;;Artificial Intelligence and Robotics;Operations Research, Management Science. ; http://scigraph.springernature.com/things/product-market-codes/M26024. ;;Operations Research/Decision Theory. ; http://scigraph.springernature.com/things/product-market-codes/521000. ;;004.0151 ; 23 ;
تاریخ انتشار: 2018
محل نشر: Cham :
ناشر: Springer International Publishing :
Imprint: Springer,
فروست / شماره : Natural Computing Series, ; 1619-7127. ;
Natural Computing Series, ; 1619-7127. ;
چکیده: This book is an introduction to relevant aspects of the foraging literature for algorithmic design, and an overview of key families of optimization algorithms that stem from a foraging metaphor. The authors first offer perspectives on foraging and foraging-inspired algorithms for optimization, they then explain the techniques inspired by the behaviors of vertebrates, invertebrates, and non-neuronal organisms, and they then discuss algorithms based on formal models of foraging, how to evolve a foraging strategy, and likely future developments. No prior knowledge of natural computing is assumed. This book will be of particular interest to graduate students, academics and practitioners in computer science, informatics, data science, management science, and other application domains. ;
توضیحات : 


SpringerLink (Online service) ;
Printed edition: ; 9783319591551. ;
QA75.5-76.95 ;

Printed edition: ; 9783319591575. ;
آدرس: http://localhost/handle/Hannan/493
شابک : 9783319591568 ;
9783319591551 (print) ;
9783319591575 (print) ;
اطلاعات بیشتر: XVIII, 478 p. ; online resource. ;
مجموعه(های):مدیریت فناوری اطلاعات

پیوست های این کاربرگه
فایل توضیحات اندازهفرمت  
9783319591551.pdf7.8 MBAdobe PDFتصویر
مشاهده فایل