Logistics Management and Optimization through Hybrid Artificial Intelligence Systems (Hardcover, New)

Hybrid Artificial Intelligent Systems (HAIS) try to deal with the complexity of real world phenomena using a multidisciplinary approach and a plurality of techniques. Logistics Management and Optimization through Hybrid Artificial Intelligence Systems offers the latest research within the field of HAIS, surveying the broad topics and collecting case studies, future directions, and cutting edge analyses. Using biologically-inspired algorithms such as ant colony optimization and particle swarm optimization, this text includes solutions and heuristics for practitioners and academics alike, offering a vital resource for staying abreast in this ever-burgeoning field.

General

Imprint:	Idea Group,U.S.
Country of origin:	United States
Release date:	March 2012
First published:	March 2012
Editors:	Carlos Alberto Ochoa Ortiz Zezzatti • Camelia Chira • Arturo Hernandez • Miguel Basurto
Dimensions:	280 x 216 x 30mm (L x W x T)
Format:	Hardcover
Pages:	422
Edition:	New
ISBN-13:	978-1-4666-0297-7
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	1-4666-0297-X
Barcode:	9781466602977

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