Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/493
Title: Foraging-Inspired Optimisation Algorithms
Authors: Brabazon, Anthony. ;;McGarraghy, Seeen. ;
subject: 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 ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Natural Computing Series, ; 1619-7127. ;
Natural Computing Series, ; 1619-7127. ;
Abstract: 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. ;
Description: 


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

Printed edition: ; 9783319591575. ;
URI: http://localhost/handle/Hannan/493
ISBN: 9783319591568 ;
9783319591551 (print) ;
9783319591575 (print) ;
More Information: XVIII, 478 p. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319591551.pdf7.8 MBAdobe PDFThumbnail
Preview File
Title: Foraging-Inspired Optimisation Algorithms
Authors: Brabazon, Anthony. ;;McGarraghy, Seeen. ;
subject: 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 ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Natural Computing Series, ; 1619-7127. ;
Natural Computing Series, ; 1619-7127. ;
Abstract: 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. ;
Description: 


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

Printed edition: ; 9783319591575. ;
URI: http://localhost/handle/Hannan/493
ISBN: 9783319591568 ;
9783319591551 (print) ;
9783319591575 (print) ;
More Information: XVIII, 478 p. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319591551.pdf7.8 MBAdobe PDFThumbnail
Preview File
Title: Foraging-Inspired Optimisation Algorithms
Authors: Brabazon, Anthony. ;;McGarraghy, Seeen. ;
subject: 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 ;
Year: 2018
place: Cham :
Publisher: Springer International Publishing :
Imprint: Springer,
Series/Report no.: Natural Computing Series, ; 1619-7127. ;
Natural Computing Series, ; 1619-7127. ;
Abstract: 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. ;
Description: 


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

Printed edition: ; 9783319591575. ;
URI: http://localhost/handle/Hannan/493
ISBN: 9783319591568 ;
9783319591551 (print) ;
9783319591575 (print) ;
More Information: XVIII, 478 p. ; online resource. ;
Appears in Collections:مدیریت فناوری اطلاعات

Files in This Item:
File Description SizeFormat 
9783319591551.pdf7.8 MBAdobe PDFThumbnail
Preview File