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Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Edited by Ghaith Rabadi ()

in International Series in Operations Research and Management Science from Springer, currently edited by Camille C. Price, Joe Zhu and Frederick S. Hillier

Date: 2016
Edition: 1st ed. 2016
ISBN: 978-3-319-26024-2
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Chapters in this book:

Ch Chapter 1 Approximation Algorithms for Spatial Scheduling
Christopher Garcia and Ghaith Rabadi
Ch Chapter 10 Metaheuristic Approaches for Scheduling Jobs on Parallel Batch Processing Machines
Stefan Lausch and Lars Mönch
Ch Chapter 11 Worm Optimization for the Traveling Salesman Problem
Jean-Paul Arnaout
Ch Chapter 12 Heuristics and Simulated Annealing Algorithm for the Surgical Scheduling Problem
Gulsah Hancerliogullari, Emrah Koksalmis and Kadir Oymen Hancerliogullari
Ch Chapter 13 Product Wheels in Manufacturing Operations Planning
J. Bennett Foster and Peter L. King
Ch Chapter 2 Estimating the Costs of Planned Changes Implied by Freezing Production Plans
Po-Chen Lin and Reha Uzsoy
Ch Chapter 3 Stochastic Scheduling for a Network of Flexible Job Shops
Subhash C. Sarin, Hanif D. Sherali, Amrusha Varadarajan and Lingrui Liao
Ch Chapter 4 A Free-Slack-Based Genetic Algorithm for the Robotic Cell Problem with Controllable Processing Times
Mohammed Al-Salem, Mohamed Haouari, Mohamed Kharbeche and Wael Khallouli
Ch Chapter 5 Metaheuristic for Randomized Priority Search (Meta-RaPS): A Tutorial
Reinaldo J. Moraga
Ch Chapter 6 Performance of an Intensification Strategy Based on Learning in a Metaheuristic: Meta-RaPS with Path Relinking
Arif Arin and Ghaith Rabadi
Ch Chapter 7 Meta-RaPS for a Bi-objective Unrelated Parallel Machine Scheduling Problem
Nixon Dcoutho and Reinaldo Moraga
Ch Chapter 8 Heuristics and Meta-heuristics for Runway Scheduling Problems
Farbod Farhadi
Ch Chapter 9 A Tabu Search Algorithm for the Multiple Runway Aircraft Scheduling Problem
Bulent Soykan and Ghaith Rabadi

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Persistent link: https://EconPapers.repec.org/RePEc:spr:isorms:978-3-319-26024-2

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DOI: 10.1007/978-3-319-26024-2

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