Multiprocessor Scheduling
eBook - PDF

Multiprocessor Scheduling

Theory and Applications

  1. 438 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Multiprocessor Scheduling

Theory and Applications

About this book

A major goal of the book is to continue a good tradition - to bring together reputable researchers from different countries in order to provide a comprehensive coverage of advanced and modern topics in scheduling not yet reflected by other books. The virtual consortium of the authors has been created by using electronic exchanges; it comprises 50 authors from 18 different countries who have submitted 23 contributions to this collective product. In this sense, the volume can be added to a bookshelf with similar collective publications in scheduling, started by Coffman (1976) and successfully continued by Chretienne et al. (1995), Gutin and Punnen (2002), and Leung (2004).This volume contains four major parts that cover the following directions: the state of the art in theory and algorithms for classical and non-standard scheduling problems; new exact optimization algorithms, approximation algorithms with performance guarantees, heuristics and metaheuristics; novel models and approaches to scheduling; and, last but least, several real-life applications and case studies.

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Yes, you can access Multiprocessor Scheduling by Eugene Levner in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming Algorithms. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Multiprocessor Scheduling, Theory and Applications
  2. Preface
  3. Contents
  4. 1. Cyclic Scheduling in Robotic Cells: An Extension of Basic Models in MachineScheduling Theory
  5. 2. Combinatorial Models for Multi-agent Scheduling Problems
  6. 3. Scheduling under Unavailability Constraints to Minimize Flow-time Criteria
  7. 4. Scheduling with Communication Delays
  8. 5. Minimizing the Weighted Number of Late Jobs with Batch Setup Times and Delivery Costs on a Single Machine
  9. 6. On-line Scheduling on Identical Machines for Jobs with Arbitrary Release Times
  10. 7. A NeuroGenetic Approach for Multiprocessor Scheduling
  11. 8. Heuristics for Unrelated Parallel Machine Scheduling with Secondary Resource Constraints
  12. 9. A hybrid genetic algorithm for the re-entrant flow-shop scheduling problem
  13. 10. Hybrid Search Heuristics to Schedule Bottleneck Facility in Manufacturing Systems
  14. 11. Solving a Multi-Objective No-Wait Flow Shop Problem by a Hybrid Multi-Objective Immune Algorithm
  15. 12. Concurrent Open shop Problem to Minimize the Weighted Number of Late Jobs1
  16. 13. Integral Approaches to Integrated Scheduling
  17. 14. Scheduling with Setup Considerations: An MIP Approach
  18. 15. A New Mathematical Model for Flexible Flow Lines with Blocking Processor and Sequence-Dependent Setup Time
  19. 16. Hybrid Job Shop and parallel machine scheduling problems: minimization of total tardiness criterion
  20. 17. Identical Parallel Machine Scheduling with Dynamical Networks using Time-Varying Penalty Parameters
  21. 18. A Heuristic Rule-Based Approach for Dynamic Scheduling of Flexible Manufacturing Systems
  22. 19. A geometric approach to scheduling of concurrent real-time processes sharing resources
  23. 20. Sequencing and scheduling in the sheet metal shop
  24. 21. Decentralized scheduling of baggage handling using multi-agent technologies
  25. 22. Synchronized scheduling of manufacturing and 3PL transportation
  26. 23. Scheduling for Dedicated Machine Constraint