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Handbook of Metaheuristics

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Cover of 'Handbook of Metaheuristics'

Table of Contents

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