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Handbook of Heuristics

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Cover of 'Handbook of Heuristics'

Table of Contents

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    Book Overview
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    Chapter 1 Multi-start Methods
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    Chapter 2 Guided Local Search
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    Chapter 4 A History of Metaheuristics
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    Chapter 6 Theory of Local Search
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    Chapter 7 Constraint-Based Local Search
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    Chapter 8 Iterated Local Search
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    Chapter 9 Variable Neighborhood Descent
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    Chapter 10 Iterated Greedy
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    Chapter 11 Data Mining in Stochastic Local Search
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    Chapter 13 Evolution Strategies
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    Chapter 14 Matheuristics
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    Chapter 15 Restart Strategies
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    Chapter 16 Adaptive and Multilevel Metaheuristics
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    Chapter 17 Multi-objective Optimization
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    Chapter 19 Variable Neighborhood Search
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    Chapter 20 Scatter Search
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    Chapter 21 Ant Colony Optimization: A Component-Wise Overview
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    Chapter 22 Particle Swarm Methods
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    Chapter 23 GRASP
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    Chapter 24 Tabu Search
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    Chapter 25 Biased Random-Key Genetic Progamming
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    Chapter 27 Evolutionary Algorithms
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    Chapter 28 Genetic Algorithms
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    Chapter 29 Memetic Algorithms
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    Chapter 30 Random-Key Genetic Algorithms
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    Chapter 31 POPMUSIC
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    Chapter 32 Hyper-heuristics
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    Chapter 35 Theoretical Analysis of Stochastic Search Algorithms
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    Chapter 40 Parallel Metaheuristic Search
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    Chapter 41 The Multi-plant Lot Sizing Problem with Multiple Periods and Items
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    Chapter 42 Particle Swarm Optimization for the Vehicle Routing Problem: A Survey and a Comparative Analysis
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    Chapter 43 Cutting and Packing
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    Chapter 44 Scheduling Heuristics
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    Chapter 45 Linear Layout Problems
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    Chapter 46 Network Optimization
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    Chapter 47 The Maximum Clique and Vertex Coloring
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    Chapter 49 Trees and Forests
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    Chapter 51 Metaheuristics for Natural Gas Pipeline Networks
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    Chapter 53 Optimization Problems, Models, and Heuristics in Wireless Sensor Networks
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    Chapter 54 Supply Chain Management
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    Chapter 55 City Logistics
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    Chapter 56 Metaheuristics for Medical Image Registration
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    Chapter 57 Maritime Container Terminal Problems
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    Chapter 58 Selected String Problems
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    Chapter 59 Evolutionary Algorithms for the Inverse Protein Folding Problem
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    Chapter 60 World’s Best Universities and Personalized Rankings
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    Chapter 61 Diversity and Equity Models
Attention for Chapter 28: Genetic Algorithms
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Chapter title
Genetic Algorithms
Chapter number 28
Book title
Handbook of Heuristics
Published by
Springer, Cham, January 2018
DOI 10.1007/978-3-319-07124-4_28
Book ISBNs
978-3-31-907123-7, 978-3-31-907124-4
Authors

Carlos García-Martínez, Francisco J. Rodriguez, Manuel Lozano, García-Martínez, Carlos, Rodriguez, Francisco J., Lozano, Manuel

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 260 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 2 <1%
Colombia 1 <1%
Germany 1 <1%
France 1 <1%
Singapore 1 <1%
China 1 <1%
Poland 1 <1%
Unknown 252 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 20%
Student > Master 46 18%
Student > Bachelor 28 11%
Researcher 27 10%
Professor > Associate Professor 16 6%
Other 40 15%
Unknown 51 20%
Readers by discipline Count As %
Engineering 90 35%
Computer Science 57 22%
Business, Management and Accounting 4 2%
Agricultural and Biological Sciences 4 2%
Physics and Astronomy 4 2%
Other 35 13%
Unknown 66 25%