Cover image for Metaheuristics : progress as real problem solvers
Title:
Metaheuristics : progress as real problem solvers
Series:
Operations research computer science interfaces series ; 32
Publication Information:
New York, NY : Springer, 2005
ISBN:
9780387253824

Available:*

Library
Item Barcode
Call Number
Material Type
Item Category 1
Status
Searching...
30000010122179 QA402.5 M47 2003 Open Access Book Proceedings, Conference, Workshop etc.
Searching...

On Order

Summary

Summary

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.


Table of Contents

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.