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Rabadi, Ghaith

Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling

Rabadi, Ghaith - Heuristics, Metaheuristics and Approximate Methods in Planning and Scheduling, ebook

133,75€

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ISBN: 9783319260242
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Table of contents

1. Approximation Algorithms for Spatial Scheduling
Christopher Garcia, Ghaith Rabadi

2. Estimating the Costs of Planned Changes Implied by Freezing Production Plans
Po-Chen Lin, Reha Uzsoy

3. Stochastic Scheduling for a Network of Flexible Job Shops
Subhash C. Sarin, Hanif D. Sherali, Amrusha Varadarajan, Lingrui Liao

4. A Free-Slack-Based Genetic Algorithm for the Robotic Cell Problem with Controllable Processing Times
Mohammed Al-Salem, Mohamed Haouari, Mohamed Kharbeche, Wael Khallouli

5. Metaheuristic for Randomized Priority Search (Meta-RaPS): A Tutorial
Reinaldo J. Moraga

6. Performance of an Intensification Strategy Based on Learning in a Metaheuristic: Meta-RaPS with Path Relinking
Arif Arin, Ghaith Rabadi

7. Meta-RaPS for a Bi-objective Unrelated Parallel Machine Scheduling Problem
Nixon Dcoutho, Reinaldo Moraga

8. Heuristics and Meta-heuristics for Runway Scheduling Problems
Farbod Farhadi

9. A Tabu Search Algorithm for the Multiple Runway Aircraft Scheduling Problem
Bulent Soykan, Ghaith Rabadi

10. Metaheuristic Approaches for Scheduling Jobs on Parallel Batch Processing Machines
Stefan Lausch, Lars Mönch

11. Worm Optimization for the Traveling Salesman Problem
Jean-Paul Arnaout

12. Heuristics and Simulated Annealing Algorithm for the Surgical Scheduling Problem
Gulsah Hancerliogullari, Emrah Koksalmis, Kadir Oymen Hancerliogullari

13. Product Wheels in Manufacturing Operations Planning
J. Bennett Foster, Peter L. King

Keywords: Business and Management, Operation Research/Decision Theory, Supply Chain Management, Logistics, Operations Research, Management Science

Editor
Publisher
Springer
Publication year
2016
Language
en
Edition
1st ed. 2016
Series
International Series in Operations Research & Management Science
Category
Economy
Format
Ebook
eISBN (PDF)
9783319260242
Printed ISBN
978-3-319-26022-8

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