Metaheuristics : Progress as Real Problem Solvers

Ibaraki, Toshihide; Nonobe, Koji; Yagiura, Mutsunori; META-HEURISTICS INTERNATIONAL CONFERENCE

ISBN 10: 0387253823 / ISBN 13: 9780387253824

Editore: Springer, 2005

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Dati bibliografici

• Titolo: Metaheuristics : Progress as Real Problem Solvers
• Editore: Springer
• Data di pubblicazione: 2005
• Lingua: Inglese
• ISBN 10: 0387253823
• ISBN 13: 9780387253824
• Rilegatura: Rilegato
• Condizione: As New

Descrizione articolo

Riassunto

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.

Contenuti

Preface.- Metaheuristic Agent Processes (MAPs).- GRASP with Path-Relinking: Recent advances and applications.- 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: An application for the paper industry.- 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.- 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 Neighborhood in a Tabu Search.- Constraint Oriented Neighborhoods - A New Search Strategy in Metaheuristics.