ENRIQUE ALBA, PhD, is a Professor of Computer Science at the University of Málaga, Spain. His research interests involve the design and application of evolutionary algorithms, neural networks, parallelism, and metaheuristic algorithms to solve problems in telecommunications, combinatorial optimization, and bioinformatics. Dr. Alba has published many papers in leading journals and international conferences, and has garnered international awards for his research.

"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)

• Foreword. PrefaceContributors.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.

ENRIQUE ALBA, PhD, is a Professor of Computer Science at the University of Málaga, Spain. His research interests involve the design and application of evolutionary algorithms, neural networks, parallelism, and metaheuristic algorithms to solve problems in telecommunications, combinatorial optimization, and bioinformatics. Dr. Alba has published many papers in leading journals and international conferences, and has garnered international awards for his research.

"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)

• Foreword. PrefaceContributors.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.

ENRIQUE ALBA, PhD, is a Professor of Computer Science at the University of Málaga, Spain. His research interests involve the design and application of evolutionary algorithms, neural networks, parallelism, and metaheuristic algorithms to solve problems in telecommunications, combinatorial optimization, and bioinformatics. Dr. Alba has published many papers in leading journals and international conferences, and has garnered international awards for his research.

"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)

• Foreword. PrefaceContributors.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.