Logistics Management and Optimization through Hybrid Artificial Intelligence Systems

Logistics Management and Optimization through Hybrid Artificial Intelligence Systems

Carlos Alberto Ochoa Ortiz Zezzatti, Camelia Chira, Arturo Hernandez, Miguel Basurto
Indexed In: SCOPUS View 1 More Indices
Release Date: March, 2012|Copyright: © 2012 |Pages: 540
DOI: 10.4018/978-1-4666-0297-7
ISBN13: 9781466602977|ISBN10: 146660297X|EISBN13: 9781466602984
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Distributed logistics
  • Hybrid metaheuristics
  • Intelligent optimization
  • Inventory Control
  • Logistics Management
  • Network configuration
  • Particle Swarm Optimization
  • Procurement strategies
  • Production Planning
  • Vehicle fleet management
Reviews & Statements

This edited collection of papers entitled Logistics Management and Optimization through Hybrid Artificial Intelligence Systems presents a set of applications which purpose is to solve a wide variety of modern and real world problems on logistics management and optimization by means of Hybrid Artificial Intelligence Systems.

– José Alberto Hernández-Aguilar, Autonomous University of Morelos State, Mexico
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Editor/Author Biographies
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 Hernández 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 Tecnológico de Veracruz in 1995, a Master of Sciences from Instituto Nacional de Astrofísica, Óptica y Electrónica 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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Editorial Advisory Board
  • Ricardo Aceves - UNAM, Mexico
  • Luciana Buriol - UFRGS, Brazil
  • Cerasela Crisan - University of Bacau, Romania
  • D. Dumitrescu - Babes-Bolyai University, Romania
  • Anca Gog - Babes-Bolyai University Cluj-Napoca, Romania
  • Stella Heras - Universidad Politécnica de Valencia, Spain
  • Samer Hassan - Surrey University, UK
  • Barna Iantovics - Petru Maior University Targu-Mures, Romania
  • Fabricio Olivetti de França - University of Campinas, Brazil
  • Camelia-M. Pintea - Babes-Bolyai University, Romania
  • Petrica Pop - North University Baia-Mare, Romania
  • Dario Landa-Silva - University of Nottingham, UK
  • José Ramón Villar - University of Oviedo, Spain