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Metaheuristics: Progress as Real Problem Solvers

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Cover of 'Metaheuristics: Progress as Real Problem Solvers'

Table of Contents

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    Book Overview
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    Chapter 1 Metaheuristic Agent Processes (MAPS)
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    Chapter 2 GRASP with Path-Relinking: Recent Advances and Applications
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    Chapter 3 A Tabu Search Heuristic for a University Timetabling Problem
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    Chapter 4 An Investigation of Automated Planograms Using a Simulated Annealing Based Hyper-Heuristic
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    Chapter 5 Validation and Optimization of an Elevator Simulation Model with Modern Search Heuristics
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    Chapter 6 Multi-Objective Hyper-Heuristic Approaches for Space Allocation and Timetabling
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    Chapter 7 Theory and Practice of the Minimum Shift Design Problem
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    Chapter 8 Local Search Algorithms for the Two-Dimensional Cutting Stock Problem with a Given Number of Different Patterns
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    Chapter 9 A Generic Object-Oriented Tabu Search Framework
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    Chapter 10 Bi-Objective Sequencing of Cutting Patterns
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    Chapter 11 Metaheuristics Approach for Rule Acquisition in Flexible Shop Scheduling Problems
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    Chapter 12 Predicting Colorectal Cancer Recurrence: A Hybrid Neural Networks-Based Approach
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    Chapter 13 A Constructive Genetic Approach to Point-Feature Cartographic Label Placement
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    Chapter 14 Parallel Strategies for Grasp with Path-Relinking
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    Chapter 15 Speeding Up Local Search Neighborhood Evaluation for A Multi-Dimensional Knapsack Problem
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    Chapter 16 Computationally Difficult Instances for the Uncapacitated Facility Location Problem
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    Chapter 17 Consistent Neighbourhood in a Tabu Search
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    Chapter 18 Constraint Oriented Neighbourhoods — A New Search Strategy in Metaheuristics
Attention for Chapter 16: Computationally Difficult Instances for the Uncapacitated Facility Location Problem
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Citations

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Chapter title
Computationally Difficult Instances for the Uncapacitated Facility Location Problem
Chapter number 16
Book title
Metaheuristics: Progress as Real Problem Solvers
Published by
Springer, Boston, MA, January 2005
DOI 10.1007/0-387-25383-1_16
Book ISBNs
978-0-387-25382-4, 978-0-387-25383-1
Authors

Yuri Kochetov, Dmitry Ivanenko

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 8%
Unknown 11 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 67%
Professor > Associate Professor 1 8%
Student > Bachelor 1 8%
Researcher 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 7 58%
Mathematics 2 17%
Decision Sciences 1 8%
Unknown 2 17%

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