Overview

This book provides state-of-the-art material in decision-making metaheuristics, from both an algorithm and application point of view. Audience: This book is suitable for professionals and students in computer science, operations research and business, who use quantitative decision-making tools.

Full Product Details

Author:   Mauricio G.C. Resende ,  J. Pinho de Sousa
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   Softcover reprint of hardcover 1st ed. 2004
Volume:   86
Dimensions:   Width: 15.50cm , Height: 3.70cm , Length: 23.50cm
Weight:   1.110kg
ISBN:  

9781441954039

ISBN 10:   1441954031
Pages:   719
Publication Date:   06 December 2010
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1 A path relinking algorithm for the generalized assignment problem.- 2 The PROBE metaheuristic for the multiconstraint knapsack problem.- 3 Lagrangian heuristics for the linear ordering problem.- 4 Enhancing MA performance by using matching-based recombination.- 5 Multi-cast ant colony system for the bus routing problem.- 6 Study of genetic algorithms with crossover based on confidence intervals as an alternative to classical least squares estimation methods for nonlinear models.- 7 Variable neighborhood search for nurse rostering problems.- 8 A Potts neural network heuristic for the class/teacher timetabling problem.- 9 Genetic algorithms for the single source capacitated location problem.- 10 An elitist genetic algorithm for multiobjective optimization.- 11 HSF: The iOpt’s framework to sasily design metaheuristic methods.- 12 A distance-based selection of parents in genetic algorithms.- 13 Experimental pool design: Input, output and combination strategies for scatter search.- 14 Evolutionary proxy tuning for expensive evaluation functions: A real-case application to petroleum reservoir optimization.- 15 An analysis of solution properties of the graph coloring problem.- 16 Developing classification techniques from biological databases using simulated annealing.- 17 A new look at solving minimax problems with coevolutionary genetic algorithms.- 18 A performance analysis of tabu search for discrete-continuous scheduling problems.- 19 Elements for the description of fitness landscapes associated with local operators for layered drawings of directed graphs.- 20 Training multi layer perceptron network using a genetic algorithm as a global optimizer.- 21 Metaheuristics applied to power systems.- 22 On the behavior of ACO algorithms: Studies on simple problems.- 23Variable neighborhood search for the k-cardinality tree.- 24 Heuristics for large strip packing problems with guillotine patterns: An empirical study.- 25 Choosing search heuristics by non-stationary reinforcement learning.- 26 GRASP for linear integer programming.- 27 Random start local search and tabu search for a discrete lot-sizing and scheduling problem.- 28 New benchmark instances for the Steiner problem in graphs.- 29 A memetic algorithm for communication network design taking into consideration an existing network.- 30 A GRASP heuristic for the capacitated minimum spanning tree problem using a memory-based local search strategy.- 31 A GRASP-tabu search algorithm for school timetabling problems.- 32 A local search approach for the pattern restricted one dimensional cutting stock problem.- 33 An ant system algorithm for the mixed vehicle routing problem with backhauls.

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