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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 Scatter Search and Path Relinking: Advances and Applications
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    Chapter 2 An Introduction to Tabu Search
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    Chapter 3 Genetic Algorithms
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    Chapter 4 Genetic Programming: Automatic Synthesis of Topologies and Numerical Parameters
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    Chapter 5 A Gentle Introduction to Memetic Algorithms
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    Chapter 6 Variable Neighborhood Search
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    Chapter 7 Guided Local Search
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    Chapter 8 Greedy Randomized Adaptive Search Procedures
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    Chapter 9 The Ant Colony Optimization Metaheuristic: Algorithms, Applications, and Advances
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    Chapter 10 The Theory and Practice of Simulated Annealing
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    Chapter 11 Iterated Local Search
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    Chapter 12 Multi-Start Methods
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    Chapter 13 Local Search and Constraint Programming
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    Chapter 14 Constraint Satisfaction
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    Chapter 15 Artificial Neural Networks for Combinatorial Optimization
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    Chapter 16 Hyper-Heuristics: An Emerging Direction in Modern Search Technology
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    Chapter 17 Parallel Strategies for Meta-Heuristics
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    Chapter 18 Metaheuristic Class Libraries
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    Chapter 19 Asynchronous Teams
Attention for Chapter 16: Hyper-Heuristics: An Emerging Direction in Modern Search Technology
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