Metaheuristics:

Progress as Real Problem Solvers
Herausgegeben:Ibaraki, Toshihide; Nonobe, Koji; Yagiura, Mutsunori

• Broschiertes 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.

Produktdetails

• Operations Research/Computer Science Interfaces Series 32
• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 978-1-4419-3790-2
• Softcover reprint of hardcover 1st ed. 2005
• Seitenzahl: 428
• Erscheinungstermin: 8. Dezember 2010
• Englisch
• Abmessung: 235mm x 155mm x 24mm
• Gewicht: 645g
• ISBN-13: 9781441937902
• ISBN-10: 1441937900
• Artikelnr.: 32134881

Inhaltsangabe

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.