Heuristics, Meta-heuristics and Approximate Methods in Planning and Scheduling: 236 - Rilegato

Rilegato

ISBN 10: 3319260227 ISBN 13: 9783319260228

Casa editrice: Springer Nature, 2016

Riassunto

The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods used in the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS.

Su questo libro

Informazioni sull?autore

GhaithRabadi is a facultymember in the Department of EngineeringManagement & Systems Engineering at Old Dominion University.  He received his Ph.D. and M.S. in IndustrialEngineering from the University of Central Florida (UCF) in 1999 and 1996respectively, and his B.S. in Industrial Engineering from the University ofJordan in 1992. Prior to joining the faculty at Old Dominion in 2002, he was apost doc for one year and a Visiting Assistant professor at the IndustrialEngineering & Management Systems Department at UCF for another year. 

He has published numerousjournal and conference papers and contributed several book chapters in edited volumes.His research has been funded by NASA, Department of HomelandSecurity, Virginia Port Authority, Northrop Grumman Shipbuilding, MITRECorporation, STIHL, CACI, Sentara Hospitals and Qatar National ResearchFund of Qatar Foundation. He received the NASA Faculty Fellowship wherehe worked at NASA Langley Research Center in Virginiaas a faculty fellow. He also received the Fulbright Specialist Program award. His research and teachinginterests include Planning and Scheduling, Operations Research, Simulation Modeling and Analysis, Analytics, andSupply Chain Management and Logistics. Hefounded the International Journal of Planning and Scheduling in 2010 and has been serving as its ChiefEditor since then.

Dalla quarta di copertina

The scope of this book is limited to heuristics, metaheuristics, and approximate methods and algorithms as applied to planning and scheduling problems. While it is not possible to give a comprehensive treatment of this topic in one book, the aim of this work is to provide the reader with a diverse set of planning and scheduling problems and different heuristic approaches to solve them. The problems range from traditional single stage and parallel machine problems to more modern settings such as robotic cells and flexible job shop networks. Furthermore, some chapters deal with deterministic problems while some others treat stochastic versions of the problems. Unlike most of the literature that deals with planning and scheduling problems in the manufacturing and production environments, in this book the environments were extended to nontraditional applications such as spatial scheduling (optimizing space over time), runway scheduling, and surgical scheduling. The solution methods used in the different chapters of the book also spread from well-established heuristics and metaheuristics such as Genetic Algorithms and Ant Colony Optimization to more recent ones such as Meta-RaPS.

Dettagli dell?edizione

• Editore: Springer Nature
• Data di pubblicazione: 2016
• Lingua: Inglese
• ISBN 10: 3319260227
• ISBN 13: 9783319260228
• Rilegatura: Copertina rigida
• Numero edizione: 1
• Numero di pagine: 276
• Redattore: Rabadi Ghaith
• Contatto del produttore: non disponibile
• Persona responsabile: CMN Printpool Inh. Mathis Neumann; https://www.also.com/ec/cms5/en_6000/6000/index.jsp; ; Friedrich-Karl-Str. 9; Hamburg; Germania