Metaheuristics: Progress as Real Problem Solvers /

Metaheuristics: Progress as Real Problem Solvers is a peer-reviewed volume of eighteen current, cutting-edge papers by leading researchers in the field. Included are an invited paper by F. Glover and G. Kochenberger, which discusses the concept of Metaheuristic agent processes, and a tutorial paper...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Ibaraki, Toshihide (Editor ), Nonobe, Koji (Editor ), Yagiura, Mutsunori (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer US : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Operations Research/Computer Science Interfaces Series, 32
Temas:
Mathematical optimization.
Operations research.
Management science.
Artificial intelligence.
Computer science.
Mathematical models.
Optimization.
Operations Research and Decision Theory.
Operations Research, Management Science .
Artificial Intelligence.
Theory of Computation.
Mathematical Modeling and Industrial Mathematics.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Invited Paper
  • Metaheuristic Agent Processes (MAPS)
  • Tutorial Paper
  • GRASP with Path-Relinking: Recent Advances and Applications
  • Papers on Problem Solving
  • A Tabu Search Heuristic for a University Timetabling Problem
  • An Investigation of Automated Planograms Using a Simulated Annealing Based Hyper-Heuristic
  • Validation and Optimization of an Elevator Simulation Model with Modern Search Heuristics
  • Multi-Objective Hyper-Heuristic Approaches for Space Allocation and Timetabling
  • Theory and Practice of the Minimum Shift Design Problem
  • Local Search Algorithms for the Two-Dimensional Cutting Stock Problem with a Given Number of Different Patterns
  • A Generic Object-Oriented Tabu Search Framework
  • Bi-Objective Sequencing of Cutting Patterns
  • Metaheuristics Approach for Rule Acquisition in Flexible Shop Scheduling Problems
  • Predicting Colorectal Cancer Recurrence: A Hybrid Neural Networks-Based Approach
  • A Constructive Genetic Approach to Point-Feature Cartographic Label Placement
  • Papers on Methodologies
  • Parallel Strategies for Grasp with Path-Relinking
  • Speeding Up Local Search Neighborhood Evaluation for A Multi-Dimensional Knapsack Problem
  • Computationally Difficult Instances for the Uncapacitated Facility Location Problem
  • Consistent Neighbourhood in a Tabu Search
  • Constraint Oriented Neighbourhoods - A New Search Strategy in Metaheuristics.

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