Description

Book Synopsis
Parallel Metaheuristics provides a single, up-to-date reference on parallel metaheuristic issues. This comprehensive book presents modern and ongoing research information on using, designing, and analyzing efficient models of parallel algorithms (numeric and real-time efficiency, algorithms, comparison of parallel models).

Trade Review
"This book nicely combines many papers on a general topic of timeliness and importance." (Journal of the Operational Research Society, 2008)

"…a good overview of recent metaheuristic techniques, and can be used as a starting point for developing new parallel version of the methods." (Computing Reviews.com, March 13, 2006)



Table of Contents
Foreword.

Preface

Contributors.

PART I: INTRODUCTION TO METAHEURISITICS AND PARALLELISM.

1. An Introduction to Metaheuristic Techniques (C. Blum, et al.).

2. Measuring the Performance of Parallel Metaheuristics (E. Alba & G. Luque).

3. New Technologies in Parallelism (E. Alba & A. Nebro).

4. Metaheuristics and Parallelism (E. Alba, et al.).

PART II: PARALLEL METAHEURISTIC MODELS.

5. Parallel Genetic Algorithms (G. Luque, et al.).

6. Parallel Genetic Programming (F. Fernández, et al.).

7. Parallel Evolution Strategies (G. Rudolph).

8. Parallel Ant Colony Algorithms (S. Janson, et al.).

9. Parallel Estimation of Distribution Algorithms (J. Madera, et al.).

10. Parallel Scatter Search (F. Garcia, et al.).

11. Parallel Variable Neighborhood Search (J. Moreno-Pérez, et al.).

12. Parallel Simulated Annealing (M. Aydin, V. Yigit).

13. Parallel Tabu Search (T. Crainic, et al.).

14. Parallel Greedy Randomized Adaptive Search Procedures (M. Resende & C. Ribeiro).

15. Parallel Hybrid Metaheuristics (C. Cotta, et al.).

16. Parallel MultiObjective Optimization (A. Nebro, et al.).

17. Parallel Heterogeneous Metaheuristics (F. Luna, et al.).

PART III: THEORY AND APPLICATIONS.

18. Theory of Parallel Genetic Algorithms (E. Cantú-Paz).

19. Parallel Metaheuristics Applications (T. Crainic & N. Hail).

20. Parallel Metaheuristics in Telecommunications (S. Nesmachnow, et al.).

21. Bioinformatics and Parallel Metaheuristics (O. Trelles, A. Rodriguez).

Index.

Parallel Metaheuristics

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    A Hardback by Enrique Alba

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      Publisher: John Wiley & Sons Inc
      Publication Date: 07/10/2005
      ISBN13: 9780471678069, 978-0471678069
      ISBN10: 0471678066

      Description

      Book Synopsis
      Parallel Metaheuristics provides a single, up-to-date reference on parallel metaheuristic issues. This comprehensive book presents modern and ongoing research information on using, designing, and analyzing efficient models of parallel algorithms (numeric and real-time efficiency, algorithms, comparison of parallel models).

      Trade Review
      "This book nicely combines many papers on a general topic of timeliness and importance." (Journal of the Operational Research Society, 2008)

      "…a good overview of recent metaheuristic techniques, and can be used as a starting point for developing new parallel version of the methods." (Computing Reviews.com, March 13, 2006)



      Table of Contents
      Foreword.

      Preface

      Contributors.

      PART I: INTRODUCTION TO METAHEURISITICS AND PARALLELISM.

      1. An Introduction to Metaheuristic Techniques (C. Blum, et al.).

      2. Measuring the Performance of Parallel Metaheuristics (E. Alba & G. Luque).

      3. New Technologies in Parallelism (E. Alba & A. Nebro).

      4. Metaheuristics and Parallelism (E. Alba, et al.).

      PART II: PARALLEL METAHEURISTIC MODELS.

      5. Parallel Genetic Algorithms (G. Luque, et al.).

      6. Parallel Genetic Programming (F. Fernández, et al.).

      7. Parallel Evolution Strategies (G. Rudolph).

      8. Parallel Ant Colony Algorithms (S. Janson, et al.).

      9. Parallel Estimation of Distribution Algorithms (J. Madera, et al.).

      10. Parallel Scatter Search (F. Garcia, et al.).

      11. Parallel Variable Neighborhood Search (J. Moreno-Pérez, et al.).

      12. Parallel Simulated Annealing (M. Aydin, V. Yigit).

      13. Parallel Tabu Search (T. Crainic, et al.).

      14. Parallel Greedy Randomized Adaptive Search Procedures (M. Resende & C. Ribeiro).

      15. Parallel Hybrid Metaheuristics (C. Cotta, et al.).

      16. Parallel MultiObjective Optimization (A. Nebro, et al.).

      17. Parallel Heterogeneous Metaheuristics (F. Luna, et al.).

      PART III: THEORY AND APPLICATIONS.

      18. Theory of Parallel Genetic Algorithms (E. Cantú-Paz).

      19. Parallel Metaheuristics Applications (T. Crainic & N. Hail).

      20. Parallel Metaheuristics in Telecommunications (S. Nesmachnow, et al.).

      21. Bioinformatics and Parallel Metaheuristics (O. Trelles, A. Rodriguez).

      Index.

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