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Metaheuristics:

Progress as Real Problem Solvers

Medium: Buch
ISBN: 978-0-387-25382-4
Verlag: Springer Us
Erscheinungstermin: 06.05.2005
Lieferfrist: bis zu 10 Tage

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 by M.G.C. Resende and C.C. Ribeiro discussing GRASP with path-relinking. Other papers discuss problem-solving approaches to timetabling, automated planograms, elevators, space allocation, shift design, cutting stock, flexible shop scheduling, colorectal cancer and cartography. A final group of methodology papers clarify various aspects of Metaheuristics from the computational view point.


Produkteigenschaften


  • Artikelnummer: 9780387253824
  • Medium: Buch
  • ISBN: 978-0-387-25382-4
  • Verlag: Springer Us
  • Erscheinungstermin: 06.05.2005
  • Sprache(n): Englisch
  • Auflage: 2005. Auflage 2005
  • Serie: Operations Research/Computer Science Interfaces Series
  • Produktform: Gebunden
  • Gewicht: 851 g
  • Seiten: 414
  • Format (B x H x T): 165 x 243 x 29 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

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.