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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 A CP/LNS Approach for Multi-day Homecare Scheduling Problems
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    Chapter 2 A Hybrid Metaheuristic to Solve the Resource Allocation Problem in Bike Sharing Systems
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    Chapter 3 Algorithm Comparison by Automatically Configurable Stochastic Local Search Frameworks: A Case Study Using Flow-Shop Scheduling Problems
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    Chapter 4 A Local Search Approach for Binary Programming: Feasibility Search
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    Chapter 5 A Partition-Based Heuristic for the Steiner Tree Problem in Large Graphs
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    Chapter 6 A Path-Generation Matheuristic for Large Scale Evacuation Planning
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    Chapter 7 A Variable Neighborhood Search Using Very Large Neighborhood Structures for the 3-Staged 2-Dimensional Cutting Stock Problem
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    Chapter 8 Cooperative Parallel Decomposition Guided VNS for Solving Weighted CSP
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    Chapter 9 Hybrid Metaheuristics
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    Chapter 10 Hybrids of Integer Programming and ACO for Resource Constrained Job Scheduling
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    Chapter 11 Iterative Probabilistic Tree Search for the Minimum Common String Partition Problem
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    Chapter 12 JAM: A Tabu-Based Two-Stage Simulated Annealing Algorithm for the Multidimensional Arrangement Problem
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    Chapter 13 Online Performance Measures for Metaheuristic Optimization
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    Chapter 14 Speeding Up Logic-Based Benders’ Decomposition by a Metaheuristic for a Bi-Level Capacitated Vehicle Routing Problem
Attention for Chapter 1: A CP/LNS Approach for Multi-day Homecare Scheduling Problems
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Chapter title
A CP/LNS Approach for Multi-day Homecare Scheduling Problems
Chapter number 1
Book title
Hybrid Metaheuristics
Published by
Springer, Cham, June 2014
DOI 10.1007/978-3-319-07644-7_1
Book ISBNs
978-3-31-907643-0, 978-3-31-907644-7
Authors

Luca Di Gaspero, Tommaso Urli

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 37%
Professor > Associate Professor 4 21%
Student > Master 3 16%
Student > Doctoral Student 2 11%
Researcher 2 11%
Other 1 5%
Readers by discipline Count As %
Computer Science 9 47%
Engineering 5 26%
Business, Management and Accounting 2 11%
Social Sciences 1 5%
Unknown 2 11%