Logistics Management and Optimization Through Hybrid Artificial Intelligence Systems

Author:   Camelia Chira (Babes-Bolyai University Cluj-Napoca, Romania) ,  Carlos Alberto Ortiz Zezzatti ,  Arturo Hernandez (CIMAT Research Center, Mexico) ,  Miguel Basurto (UAEM, Mexico)
Publisher:   Information Science Reference
ISBN:  

9781280559365


Pages:   541
Publication Date:   01 January 2012
Format:   Electronic book text
Availability:   Available To Order   Availability explained
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Logistics Management and Optimization Through Hybrid Artificial Intelligence Systems


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Overview

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.

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Author:   Camelia Chira (Babes-Bolyai University Cluj-Napoca, Romania) ,  Carlos Alberto Ortiz Zezzatti ,  Arturo Hernandez (CIMAT Research Center, Mexico) ,  Miguel Basurto (UAEM, Mexico)
Publisher:   Information Science Reference
Imprint:   Information Science Reference
ISBN:  

9781280559365


ISBN 10:   1280559365
Pages:   541
Publication Date:   01 January 2012
Audience:   General/trade ,  General
Format:   Electronic book text
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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