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Metaheuristic Optimization via Memory and Evolution

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Cover of 'Metaheuristic Optimization via Memory and Evolution'

Table of Contents

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    Book Overview
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    Chapter 1 A Scatter Search Tutorial for Graph-Based Permutation Problems
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    Chapter 2 A Multistart Scatter Search Heuristic for Smooth NLP and MINLP Problems
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    Chapter 3 Scatter Search Methods for the Covering Tour Problem
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    Chapter 4 Solution of the SONET Ring Assignment Problem with Capacity Constraints
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    Chapter 5 A Very Fast Tabu Search Algorithm for Job Shop Problem
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    Chapter 6 Tabu Search Heuristics for the Vehicle Routing Problem
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    Chapter 7 Some New Ideas in TS for Job Shop Scheduling
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    Chapter 8 A Tabu Search Heuristic for the Uncapacitated Facility Location Problem
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    Chapter 9 Adaptive Memory Search Guidance for Satisfiability Problems
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    Chapter 10 Lessons from Applying and Experimenting with Scatter Search
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    Chapter 11 Tabu Search for Mixed Integer Programming
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    Chapter 12 Scatter Search vs. Genetic Algorithms
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    Chapter 13 Parallel Computation, Co-operation, Tabu Search
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    Chapter 14 Using Group Theory to Construct and Characterize Metaheuristic Search Neighborhoods
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    Chapter 15 Logistics Management
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    Chapter 16 On the Integration of Metaheuristic Strategies in Constraint Programming
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    Chapter 17 General Purpose Metrics for Solution Variety
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    Chapter 18 Controlled Pool Maintenance for Metaheuristics
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    Chapter 19 Adaptive Memory Projection Methods for Integer Programming
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    Chapter 20 RAMP: A New Metaheuristic Framework for Combinatorial Optimization
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Citations

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Title
Metaheuristic Optimization via Memory and Evolution
Published by
Springer US, March 2006
DOI 10.1007/b102147
ISBNs
978-1-4020-8134-7, 978-0-387-23667-4
Editors

Sharda, Ramesh, Voß, Stefan, Rego, César, Alidaee, Bahram

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 30%
Student > Master 6 15%
Researcher 3 8%
Student > Bachelor 1 3%
Student > Doctoral Student 1 3%
Other 1 3%
Unknown 16 40%
Readers by discipline Count As %
Engineering 9 23%
Computer Science 8 20%
Physics and Astronomy 2 5%
Mathematics 1 3%
Energy 1 3%
Other 1 3%
Unknown 18 45%