Logistics Management and Optimization through Hybrid Artificial Intelligence Systems

Author:   Carlos Alberto Ochoa Ortiz Zezzatti ,  Camelia Chira ,  Arturo Hernandez ,  Miguel Basurto
Publisher:   Idea Group,U.S.
ISBN:  

9781466602991


Pages:   540
Publication Date:   31 March 2012
Format:   Mixed media product
Availability:   In Print   Availability explained
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Logistics Management and Optimization through Hybrid Artificial Intelligence Systems


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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.

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Author:   Carlos Alberto Ochoa Ortiz Zezzatti ,  Camelia Chira ,  Arturo Hernandez ,  Miguel Basurto
Publisher:   Idea Group,U.S.
Imprint:   Idea Group,U.S.
ISBN:  

9781466602991


ISBN 10:   1466602996
Pages:   540
Publication Date:   31 March 2012
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Mixed media product
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Alberto Ochoa Ortiz-Zezzatti (B.S. '94, Eng. Master '00, Ph.D. '04, Postdoctoral Researcher,'06, and Industrial Postdoctoral Research '09). He joined the Juarez City University in 2008. He has 1 book, and 7 chapters in books related with AI. He has supervised 17 Ph.D. theses, 27 M.Sc. theses and 29 undergraduate theses. He participated in the organization of COMCEV'07, COMCEV'08, HAIS'07, HAIS'08, HAIS'09, HAIS'10, HAIS'11, HAIS'12, ENC'06, ENC'07, ENC'08 and MICAI'08, MICAI'09, MICAI'10 & MICAI'11. His research interests include evolutionary computation, natural processing language, anthropometrics characterization and Social Data Mining. In his second Postdoctoral Research participated in an internship in ISTC-CNR in Rome, Italy. Camelia Chira was born in Romania in 1976. She received the B.S. degree in computer science from Babes-Bolyai University, Cluj-Napoca, Romania in 1998. From 2000 to 2005 she was engaged in full-time research at Galway-Mayo Institute of Technology (GMIT), Galway, Ireland focusing in the area of agent-based systems and ontologies for distributed collaborative design environments. She received the M.Sc. and Ph.D. degrees from GMIT Ireland in 2002 and 2005, respectively. Since 2006, Camelia is a researcher at the Centre for the Study of Complexity, Babes-Bolyai University, Romania. Her main research interests include evolutionary computing, swarm intelligence, complex systems and networks, multi-agent systems, and bioinformatics. Arturo Hernandez Aguirre is a researcher and professor in the Computer Science Department of the Center for Research in Mathematics (CIMAT). His research interests are Multiobjective Optimization, Evolvable hardware, Evolutionary computation, Evolutionary design of neural network architectures, and Computational Learning Theory using neural networks. Miguel Basurto was born in Mexico in 1973. He received the B.S. degree in Electronics and Industrial Engineering from Instituto Tecnologico de Veracruz in 1995, a Master of Sciences from Instituto Nacional de Astrofisica, Optica y Electronica in 1997, and finally, a Ph.D. in 2001 in the same institution. He is a full professor on CIICAp-UAEM Center; his research includes Lasers Fibers, Optical Fibers Sensors, and Artificial Intelligence applied to Optics.

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