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Metaheuristics for Scheduling in Industrial and Manufacturing Applications

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Cover of 'Metaheuristics for Scheduling in Industrial and Manufacturing Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Exact, Heuristic and Meta-heuristic Algorithms for Solving Shop Scheduling Problems
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    Chapter 2 Scatter Search Algorithms for Identical Parallel Machine Scheduling Problems
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    Chapter 3 On the Effectiveness of Particle Swarm Optimization and Variable Neighborhood Descent for the Continuous Flow-Shop Scheduling Problem
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    Chapter 4 A Dynamical Ant Colony Optimization with Heuristics for Scheduling Jobs on a Single Machine with a Common Due Date
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    Chapter 5 Deterministic Search Algorithm for Sequencing and Scheduling
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    Chapter 6 Sequential and Parallel Variable Neighborhood Search Algorithms for Job Shop Scheduling
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    Chapter 7 Solving Scheduling Problems by Evolutionary Algorithms for Graph Coloring Problem
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    Chapter 8 Heuristics and meta-heuristics for lot sizing and scheduling in the soft drinks industry: a comparison study
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    Chapter 9 Hybrid Heuristic Approaches for Scheduling in Reconfigurable Manufacturing Systems
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    Chapter 10 A Genetic Algorithm for Railway Scheduling Problems
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    Chapter 11 Modelling Process and Supply Chain Scheduling Using Hybrid Meta-heuristics
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    Chapter 12 Combining Simulation and Tabu Search for Oil-derivatives Pipeline Scheduling
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    Chapter 13 Particle Swarm Scheduling for Work-Flow Applications in Distributed Computing Environments
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Mentioned by

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3 Wikipedia pages

Citations

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51 Dimensions

Readers on

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65 Mendeley
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Title
Metaheuristics for Scheduling in Industrial and Manufacturing Applications
Published by
Springer Berlin Heidelberg, August 2008
DOI 10.1007/978-3-540-78985-7
ISBNs
978-3-54-078984-0, 978-3-54-078985-7
Editors

Xhafa, Fatos, Abraham, Ajith

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
India 1 2%
Unknown 63 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 14%
Student > Ph. D. Student 9 14%
Professor 5 8%
Student > Bachelor 3 5%
Student > Doctoral Student 2 3%
Other 6 9%
Unknown 31 48%
Readers by discipline Count As %
Engineering 18 28%
Computer Science 9 14%
Biochemistry, Genetics and Molecular Biology 1 2%
Economics, Econometrics and Finance 1 2%
Mathematics 1 2%
Other 2 3%
Unknown 33 51%