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Metaheuristics

Overview of attention for book
Cover of 'Metaheuristics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 Simulated Annealing
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    Chapter 3 Tabu Search
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    Chapter 4 Variable Neighborhood Search
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    Chapter 5 A Two-Phase Iterative Search Procedure: The GRASP Method
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    Chapter 6 Evolutionary Algorithms
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    Chapter 7 Artificial Ants
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    Chapter 8 Particle Swarms
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    Chapter 9 Some Other Metaheuristics
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    Chapter 10 Nature Inspires New Algorithms
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    Chapter 11 Extensions of Evolutionary Algorithms to Multimodal and Multiobjective Optimization
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    Chapter 12 Extension of Evolutionary Algorithms to Constrained Optimization
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    Chapter 13 Methodology
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    Chapter 14 Optimization of Logistics Systems Using Metaheuristic-Based Hybridization Techniques
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    Chapter 15 Metaheuristics for Vehicle Routing Problems
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    Chapter 16 Applications to Air Traffic Management
Attention for Chapter 12: Extension of Evolutionary Algorithms to Constrained Optimization
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