Logistics Management and Optimization through Hybrid Artificial Intelligence Systems

ISBN: 146660297X

Author: Ortiz Zezzatti, Carlos Alberto Ochoa

Condition: New

Review 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 Product 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. About the Author 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.