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Logistics Management and Optimization through Hybrid Artificial Intelligence Systems

Logistics Management and Optimization through Hybrid Artificial Intelligence Systems

Copyright: © 2012 |Pages: 540
ISBN13: 9781466602977|ISBN10: 146660297X|EISBN13: 9781466602984
DOI: 10.4018/978-1-4666-0297-7
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MLA

Ortiz Zezzatti, Carlos Alberto Ochoa, et al., editors. Logistics Management and Optimization through Hybrid Artificial Intelligence Systems. IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0297-7

APA

Ortiz Zezzatti, C. A., Chira, C., Hernandez, A., & Basurto, M. (Eds.). (2012). Logistics Management and Optimization through Hybrid Artificial Intelligence Systems. IGI Global. https://doi.org/10.4018/978-1-4666-0297-7

Chicago

Ortiz Zezzatti, Carlos Alberto Ochoa, et al., eds. Logistics Management and Optimization through Hybrid Artificial Intelligence Systems. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0297-7

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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.

Table of Contents

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Front Materials
Title Page
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Copyright Page
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Editorial Advisory Board
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Foreword
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Preface
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Acknowledgment
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Chapters
Chapter 1
Logistics of Products and Services
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Improve of Optimization Applied Intelligent Techniques
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Chapter 3
Social Application on Logistics
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Technological Application using Intelligent Optimization
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Back Materials
Compilation of References
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About the Contributors
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Index
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