Metaheuristics: Progress as Real Problem Solvers [electronic resource] / edited by Toshihide Ibaraki, Koji Nonobe, Mutsunori Yagiura.

Por: Ibaraki, Toshihide [editor.]Colaborador(es): Nonobe, Koji [editor.] | Yagiura, Mutsunori [editor.]Tipo de material: TextoTextoSeries Operations Research/Computer Science Interfaces Series, 32Editor: Boston, MA : Springer US, 2005Descripción: XII, 414 p. 106 illus. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780387253831Trabajos contenidos: SpringerLink (Online service)Tema(s): Economics | Information theory | Electronic data processing | Mathematical optimization | Operations research | Economics/Management Science | Operations Research/Decision Theory | Operations Research, Mathematical Programming | Computing Methodologies | Optimization | Theory of Computation | Mathematical Modeling and Industrial MathematicsFormatos físicos adicionales: Sin títuloClasificación CDD: 658.40301 Clasificación LoC:HD30.23Recursos en línea: de clik aquí para ver el libro electrónico
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Springer eBooksResumen: 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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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.

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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