
Handbook of Metaheuristics
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Content
Chapter 1. Simulated Annealing: From Basics to Applications.- Chapter 2. Tabu Search.- Chapter 3. Variable Neighborhood Search.- Chapter 4. Large Neighborhood Search.- Chapter 5. Iterated Local Search: Framework and Applications.- Chapter 6. Greedy Randomized Adaptive Search Procedures: Advances and Extensions.- Chapter 7. Intelligent Multi-Start Methods.- Chapter 8. Next Generation Genetic Algorithms: A User's Guide and Tutorial.- Chapter 9. An Accelerated Introduction to Memetic Algorithms.- Chapter 10. Ant Colony Optimization: Overview and Recent Advances.- Chapter 11. Swarm Intelligence.- Chapter 12. Metaheuristic Hybrids.- Chapter 13. Parallel Metaheuristics and Cooperative Search.- Chapter 14. A Classification of Hyper-heuristic Approaches - Revisited.- Chapter 15. Reactive Search Optimization: Learning while Optimizing.- Chapter 16. Stochastic Search in Metaheuristics.- Chapter 17. Automated Design of Metaheuristic Algorithms.- Chapter 18. Computational Comparison of Metaheuristics.
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