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Scatter Search

Methodology and Implementations in C
BuchKartoniert, Paperback
291 Seiten
Englisch
Springer Netherlandserschienen am28.02.2003Softcover reprint of the original 1st ed. 2003
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/GTIN978-1-4020-7376-2
ProduktartBuch
EinbandartKartoniert, Paperback
Erscheinungsjahr2003
Erscheinungsdatum28.02.2003
AuflageSoftcover reprint of the original 1st ed. 2003
ReiheOperations Research/Computer Science Interfaces Series
Seiten291 Seiten
SpracheEnglisch
Gewicht496 g
IllustrationenXVII, 291 p. 20 illus.
Artikel-Nr.11734507

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

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