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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
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    Chapter 2 Tabu Search
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    Chapter 3 Variable Neighborhood Search
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    Chapter 4 Scatter Search and Path-Relinking: Fundamentals, Advances, and Applications
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    Chapter 5 Genetic Algorithms
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    Chapter 6 A Modern Introduction to Memetic Algorithms
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    Chapter 7 Genetic Programming
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    Chapter 8 Ant Colony Optimization: Overview and Recent Advances
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    Chapter 9 Advanced Multi-start Methods
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    Chapter 10 Greedy Randomized Adaptive Search Procedures: Advances, Hybridizations, and Applications
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    Chapter 11 Guided Local Search
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    Chapter 12 Iterated Local Search: Framework and Applications
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    Chapter 13 Large Neighborhood Search
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    Chapter 14 Artificial Immune Systems
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    Chapter 15 A Classification of Hyper-heuristic Approaches
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    Chapter 16 Metaheuristic Hybrids
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    Chapter 17 Parallel Meta-heuristics
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    Chapter 18 Reactive Search Optimization: Learning While Optimizing
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    Chapter 19 Stochastic Search in Metaheuristics
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    Chapter 20 An Introduction to Fitness Landscape Analysis and Cost Models for Local Search
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    Chapter 21 Comparison of Metaheuristics
Attention for Chapter 18: Reactive Search Optimization: Learning While Optimizing
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