Abstract
This single reference on parallel metaheuristic
presents modern and ongoing research information on
using, designing, and analysing efficient models of
parallel algorithms.
Table of Contents Author Information Introduction. PART
I: INTRODUCTION TO METAHEURISTICS AND PARALLELISM. 1.
An Introduction to Metaheuristic Techniques. 2.
Measuring the Performance of Parallel Metaheuristics.
3. New Technologies in Parallelism. 4. Metaheuristics
and Parallelism. PART II: PARALLEL METAHEURISTIC
MODELS. 5. Parallel Genetic Algorithms. 6. Spatially
Structured Genetic Programming. 7. Parallel Evolution
Strategies. 8. Parallel Ant Colony Algorithms. 9.
Parallel Estimation of Distribution Algorithms. 10.
Parallel Scatter Search. 11. Parallel Variable
Neighbourhood Search. 12. Parallel Simulated Annealing.
13. Parallel Tabu Search. 14. Parallel GRASP. 15.
Parallel Hybrid Metaheuristics. 16. Parallel Multi
Objective. 17. Parallel Heterogeneous Metaheuristics.
PART III: THEORY AND APPLICATIONS. 18. Theory of
Parallel Genetic Algorithms. 19. Parallel
Metaheuristics. 20. Parallel Metaheuristics in
Telecommunications. 21. Bioinformatics and Parallel
Metaheuristics. Index.
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