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Hybrid Metaheuristics

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Cover of 'Hybrid Metaheuristics'

Table of Contents

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    Book Overview
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    Chapter 1 Evolutionary Local Search for the Super-Peer Selection Problem and the p -Hub Median Problem
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    Chapter 2 An Effective Memetic Algorithm with Population Management for the Split Delivery Vehicle Routing Problem
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    Chapter 3 Empirical Analysis of Two Different Metaheuristics for Real-World Vehicle Routing Problems
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    Chapter 4 Guiding ACO by Problem Relaxation: A Case Study on the Symmetric TSP
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    Chapter 5 Hybrid Local Search Techniques for the Resource-Constrained Project Scheduling Problem
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    Chapter 6 Evolutionary Clustering Search for Flowtime Minimization in Permutation Flow Shop
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    Chapter 7 A Hybrid ILS Heuristic to the Referee Assignment Problem with an Embedded MIP Strategy
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    Chapter 8 On the Combination of Constraint Programming and Stochastic Search: The Sudoku Case
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    Chapter 9 Improvement Strategies for the F-Race Algorithm: Sampling Design and Iterative Refinement
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    Chapter 10 Using Branch & Bound Concepts in Construction-Based Metaheuristics: Exploiting the Dual Problem Knowledge
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    Chapter 11 Gradient-Based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric
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    Chapter 12 A Hybrid VNS for Connected Facility Location
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    Chapter 13 A Memetic Algorithm for the Optimum Communication Spanning Tree Problem
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    Chapter 14 Hybrid Numerical Optimization for Combinatorial Network Problems
Attention for Chapter 3: Empirical Analysis of Two Different Metaheuristics for Real-World Vehicle Routing Problems
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Chapter title
Empirical Analysis of Two Different Metaheuristics for Real-World Vehicle Routing Problems
Chapter number 3
Book title
Hybrid Metaheuristics
Published by
Springer, Berlin, Heidelberg, October 2007
DOI 10.1007/978-3-540-75514-2_3
Book ISBNs
978-3-54-075513-5, 978-3-54-075514-2

Tonc̆i Carić, Juraj Fosin, Ante Galić, Hrvoje Gold, Andreas Reinholz

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 20%
Unknown 4 80%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Student > Master 1 20%
Student > Postgraduate 1 20%
Researcher 1 20%
Unspecified 1 20%
Other 0 0%
Readers by discipline Count As %
Computer Science 5 100%
Engineering 1 20%