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Hybrid Metaheuristics

Overview of attention for book
Cover of 'Hybrid Metaheuristics'

Table of Contents

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    Book Overview
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    Chapter 1 A Unified View on Hybrid Metaheuristics
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    Chapter 2 Packing Problems with Soft Rectangles
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    Chapter 3 A Multi-population Parallel Genetic Algorithm for Highly Constrained Continuous Galvanizing Line Scheduling
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    Chapter 4 Improvement in the Performance of Island Based Genetic Algorithms Through Path Relinking
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    Chapter 5 Using Datamining Techniques to Help Metaheuristics: A Short Survey
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    Chapter 6 An Iterated Local Search Heuristic for a Capacitated Hub Location Problem
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    Chapter 7 Using Memory to Improve the VNS Metaheuristic for the Design of SDH/WDM Networks
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    Chapter 8 Multi-level Ant Colony Optimization for DNA Sequencing by Hybridization
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    Chapter 9 Hybrid Approaches for Rostering: A Case Study in the Integration of Constraint Programming and Local Search
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    Chapter 10 A Reactive Greedy Randomized Variable Neighborhood Tabu Search for the Vehicle Routing Problem with Time Windows
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    Chapter 11 Incorporating Inference into Evolutionary Algorithms for Max-CSP
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    Chapter 12 Scheduling Social Golfers with Memetic Evolutionary Programming
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    Chapter 13 Colour Reassignment in Tabu Search for the Graph Set T-Colouring Problem
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    Chapter 14 Investigation of One-Go Evolution Strategy/Quasi-Newton Hybridizations
Attention for Chapter 7: Using Memory to Improve the VNS Metaheuristic for the Design of SDH/WDM Networks
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Citations

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Chapter title
Using Memory to Improve the VNS Metaheuristic for the Design of SDH/WDM Networks
Chapter number 7
Book title
Hybrid Metaheuristics
Published by
Springer, Berlin, Heidelberg, October 2006
DOI 10.1007/11890584_7
Book ISBNs
978-3-54-046384-9, 978-3-54-046385-6
Authors

Belén Melián, Melián, Belén

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 2 50%
Student > Ph. D. Student 1 25%
Unknown 1 25%
Readers by discipline Count As %
Computer Science 1 25%
Agricultural and Biological Sciences 1 25%
Decision Sciences 1 25%
Unknown 1 25%

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