Metaheuristic Optimization via Memory and Evolution Tabu Search and Scatter Search /
Tabu Search (TS) and, more recently, Scatter Search (SS) have proved highly effective in solving a wide range of optimization problems, and have had a variety of applications in industry, science, and government. The goal of METAHEURISTIC OPTIMIZATION VIA MEMORY AND EVOLUTION: Tabu Search and Scatte...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
New York, NY :
Springer US : Imprint: Springer,
2005.
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Edición: | 1st ed. 2005. |
Colección: | Operations Research/Computer Science Interfaces Series,
30 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Advances for New Model and Solution Approaches
- A Scatter Search Tutorial for Graph-Based Permutation Problems
- A Multistart Scatter Search Heuristic for Smooth NLP and MINLP Problems
- Scatter Search Methods for the Covering Tour Problem
- Solution of the SONET Ring Assignment Problem with Capacity Constraints
- Advances for Solving Classical Problems
- A Very Fast Tabu Search Algorithm for Job Shop Problem
- Tabu Search Heuristics for the Vehicle Routing Problem
- Some New Ideas in TS for Job Shop Scheduling
- A Tabu Search Heuristic for the Uncapacitated Facility Location Problem
- Adaptive Memory Search Guidance for Satisfiability Problems
- Experimental Evaluations
- Lessons from Applying and Experimenting with Scatter Search
- Tabu Search for Mixed Integer Programming
- Scatter Search vs. Genetic Algorithms
- Review of Recent Developments
- Parallel Computation, Co-operation, Tabu Search
- Using Group Theory to Construct and Characterize Metaheuristic Search Neighborhoods
- Logistics Management
- New Procedural Designs
- On the Integration of Metaheuristic Strategies in Constraint Programming
- General Purpose Metrics for Solution Variety
- Controlled Pool Maintenance for Metaheuristics
- Adaptive Memory Projection Methods for Integer Programming
- RAMP: A New Metaheuristic Framework for Combinatorial Optimization.