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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