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Hybrid Metaheuristics

Overview of attention for book
Hybrid Metaheuristics
Springer-Verlag Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 A Unified Taxonomy of Hybrid Metaheuristics with Mathematical Programming, Constraint Programming and Machine Learning
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    Chapter 2 Hybrid Metaheuristics for Dynamic and Stochastic Vehicle Routing
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    Chapter 3 Combining Two Search Paradigms for Multi-objective Optimization: Two-Phase and Pareto Local Search
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    Chapter 4 Hybridizing Cellular GAs with Active Components of Bio-inspired Algorithms
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    Chapter 5 Hybridizations of GRASP with Path-Relinking
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    Chapter 6 Hybrid Metaheuristics for the Graph Partitioning Problem
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    Chapter 7 Hybrid Metaheuristics for Medical Data Classification
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    Chapter 8 HydroCM: A Hybrid Parallel Search Model for Heterogeneous Platforms
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    Chapter 9 A Multi-thread GRASPxELS for the Heterogeneous Capacitated Vehicle Routing Problem
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    Chapter 10 The Heuristic (Dark) Side of MIP Solvers
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    Chapter 11 Combining Column Generation and Metaheuristics
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    Chapter 12 Application of Large Neighborhood Search to Strategic Supply Chain Management in the Chemical Industry
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    Chapter 13 A VNS-Based Heuristic for Feature Selection in Data Mining
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    Chapter 14 Scheduling English Football Fixtures: Consideration of Two Conflicting Objectives
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    Chapter 15 A Multi-paradigm Tool for Large Neighborhood Search
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    Chapter 16 Predicting Metaheuristic Performance on Graph Coloring Problems Using Data Mining
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    Chapter 17 Boosting Metaheuristic Search Using Reinforcement Learning
Attention for Chapter 2: Hybrid Metaheuristics for Dynamic and Stochastic Vehicle Routing
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Readers on

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39 Mendeley
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Chapter title
Hybrid Metaheuristics for Dynamic and Stochastic Vehicle Routing
Chapter number 2
Book title
Hybrid Metaheuristics
Published in
Studies in Computational Intelligence, January 2013
DOI 10.1007/978-3-642-30671-6_2
Book ISBNs
978-3-64-230670-9, 978-3-64-230671-6
Authors

Ulrike Ritzinger, Jakob Puchinger

Editors

El-Ghazali Talbi

Timeline

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 3%
Unknown 38 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 23%
Student > Master 6 15%
Student > Doctoral Student 5 13%
Professor 4 10%
Student > Bachelor 3 8%
Other 8 21%
Unknown 4 10%
Readers by discipline Count As %
Computer Science 15 38%
Engineering 6 15%
Business, Management and Accounting 5 13%
Mathematics 3 8%
Unspecified 2 5%
Other 2 5%
Unknown 6 15%