Toshihide Ibaraki / Koji Nonobe / Mutsunori Yagiura (eds.)

Metaheuristics:

Progress as Real Problem Solvers
Ed. by Toshihide Ibaraki, K. Nonobe a. M. Yagiura

• Gebundenes Buch

Produktbeschreibung

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.

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Produktdetails

• Computer Science Interfaces Series 32
• Verlag: Springer, Berlin
• 2005 edition
• Seitenzahl: 414
• Erscheinungstermin: 6. Mai 2005
• Englisch
• Abmessung: 243mm x 165mm x 29mm
• Gewicht: 850g
• ISBN-13: 9780387253824
• ISBN-10: 0387253823
• Artikelnr.: 14172497

Autorenporträt

Toshihide Ibaraki, Kyoto University, Japan / Koji Nonobe, Kyoto University, Japan / Mutsunori Yagiura, Kyoto University, Japan

Inhaltsangabe

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.-