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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 11: Gradient-Based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric
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Chapter title
Gradient-Based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric
Chapter number 11
Book title
Hybrid Metaheuristics
Published by
Springer, Berlin, Heidelberg, October 2007
DOI 10.1007/978-3-540-75514-2_11
Book ISBNs
978-3-54-075513-5, 978-3-54-075514-2
Authors

Michael Emmerich, André Deutz, Nicola Beume

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Professor 2 14%
Professor > Associate Professor 2 14%
Researcher 2 14%
Student > Master 1 7%
Other 1 7%
Unknown 3 21%
Readers by discipline Count As %
Computer Science 7 50%
Mathematics 3 21%
Business, Management and Accounting 1 7%
Unknown 3 21%