Logistics management and optimization through hybrid artificial intelligence systems

"This book offers the latest research within the field of HAIS, surveying the broad topics and collecting case studies, future directions, and cutting edge analyses, investigating biologically inspired algorithms such as ant colony optimization and particle swarm optimization"--

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Bibliographische Detailangaben
Weitere Verfasser:	Ochoa Ortiz Zezzatti, Carlos Alberto (BerichterstatterIn)
Format:	UnknownFormat
Sprache:	eng
Veröffentlicht:	Hershey, Pa Information Science Reference c 2012
Schlagworte:	Logistik > Künstliche Intelligenz > Evolutionärer Algorithmus > Heuristik > Neuronale Netze > Mathematische Optimierung > Operations research > Data processing > Business logistics > Artificial intelligence > Operations Research
Online Zugang:	Inhaltsverzeichnis
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Beschreibung
Zusammenfassung:	"This book offers the latest research within the field of HAIS, surveying the broad topics and collecting case studies, future directions, and cutting edge analyses, investigating biologically inspired algorithms such as ant colony optimization and particle swarm optimization"-- "This book offers the latest research within the field of HAIS, surveying the broad topics and collecting case studies, future directions, and cutting edge analyses, investigating biologically inspired algorithms such as ant colony optimization and particle swarm optimization"--
Beschreibung:	Enth. 18 Beitr "Premier reference source"--Cover Includes bibliographical references and index
Beschreibung:	xxiv, 514 p ill 29 cm
ISBN:	9781466602977 978-1-4666-0297-7 9781466602991 978-1-4666-0299-1