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Scatter Search

Methodology and Implementations in C
BuchKartoniert, Paperback
291 Seiten
Englisch
Springererschienen am30.10.2012
Scatter Search (SS)-together with its generalized form called Path Relinking-constitutes the only evolutionary approach that embraces a collection of principles from Tabu Search (TS), an approach popularly regarded to be divorced from evolutionary procedures.mehr
Verfügbare Formate
BuchKartoniert, Paperback
EUR106,99
BuchKartoniert, Paperback
EUR160,49
E-BookPDF1 - PDF WatermarkE-Book
EUR96,29

Produkt

KlappentextScatter Search (SS)-together with its generalized form called Path Relinking-constitutes the only evolutionary approach that embraces a collection of principles from Tabu Search (TS), an approach popularly regarded to be divorced from evolutionary procedures.
Details
ISBN/GTIN978-1-4613-5027-9
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2012
Erscheinungsdatum30.10.2012
ReiheOperations Research/Computer Science Interfaces Series
Seiten291 Seiten
SpracheEnglisch
IllustrationenXVII, 291 p. 20 illus.
Artikel-Nr.28575955

Inhalt/Kritik

Inhaltsverzeichnis
1. Introduction.- 1. Historical Background.- 2. Basic Design.- 3. C Code Conventions.- 2. Tutorial:Unconstrained Nonlinear Optimization.- 1. Diversification Generation Method.- 2. Improvement Method.- 3. Reference Set Update Method.- 4. Subset Generation Method.- 5. Combination Method.- 6. Overall Procedure.- 7. Summary of C Functions.- 3. Tutorial:0-1 Knapsack Problems.- 1. Diversification Generation Method.- 2. Improvement Method.- 3. Reference Set Update Method.- 4. Subset Generation Method.- 5. Combination Method.- 6. Overall Procedure.- 7. Summary of C Functions.- 4. Tutorial:Linear Ordering Problem.- 1. The Linear Ordering Problem.- 2. Diversification Generation Method.- 3. Improvement Method.- 4. Reference Set Update Method.- 5. Combination Method.- 6. Summary of C Functions.- 5. Advanced Scatter Search Designs.- 1. Reference Set.- 2. Subset Generation.- 3. Specialized Combination Methods.- 4. Diversification Generation.- 6. Use of Memory in Scatter Search.- 1. Tabu Search.- 2.Explicit Memory.- 3. Attributive Memory.- 7. Connections with Other Population-Based Approaches.- 1. Genetic Algorithms.- 2. Path Relinking.- 3. Intensification and Diversification.- 8. Scatter Search Applications.- 1. Neural Network Training.- 2. Multi-Objective Bus Routing.- 3. Arc Crossing Minimization in Graphs.- 4. Maximum Clique.- 5. Graph Coloring.- 6. Periodic Vehicle Loading.- 7. Capacitated Multicommodity Network Design.- 8. Job-Shop Scheduling.- 9. Capacitated Chinese Postman Problem.- 10. Vehicle Routing.- 11. Binary Mixed Integer Programming.- 12. Iterated Re-start Procedures.- 13. Parallelization for the P-Median.- 14. OptQuest Application.- 9. Commercial Scatter Search Implementation.- 1. General OCL Design.- 2. Constraints and Requirements.- 3. OCL Functionality.- 4. Computational Experiments.- 5. Conclusions.- 6. Appendix.- 10. Experiences and Future Directions.- 1. Experiences and Findings.- 2. Multi-Objective Scatter Search.- 3. Maximum Diversity Problem.- 4. Implications for Future Developments.- References.mehr
Kritik
From the reviews:



"The book Scatter Search by Manuel Laguna and Rafael Marti ... provides an excellent introduction to this advanced optimization methodology. ... Different from most other books in this field, this book comes along with a rich variety of illustrative examples for various optimization problems ... . This significantly helps to gain an in-depth understanding of the methodology and enables readers to develop state-of-the-art implementations on their own. ... With this book, the authors have created an excellent reference both for researchers and practitioners." (Stephan Scheuerer, OR-News, Issue 23, March, 2005)mehr

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