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

Contributor(s): Ibaraki, Toshihide [editor.] | Nonobe, Koji [editor.] | Yagiura, Mutsunori [editor.] | SpringerLink (Online service)
Material type: TextTextSeries: Operations Research/Computer Science Interfaces Series: 32Publisher: Boston, MA : Springer US, 2005Description: XII, 414 p. 106 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9780387253831Subject(s): Mathematics | Operations research | Decision making | Computers | Mathematical models | Mathematical optimization | Management science | Mathematics | Optimization | Operation Research/Decision Theory | Operations Research, Management Science | Computing Methodologies | Theory of Computation | Mathematical Modeling and Industrial MathematicsAdditional physical formats: Printed edition:: No titleDDC classification: 519.6 LOC classification: QA402.5-402.6Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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