Metaheuristics

Computer Decision-Making

AvMauricio G.C. Resende,J. Pinho de Sousa

Häftad, Engelska, 2010

Del 86 i serien Applied Optimization

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2010-12-06
Mått:155 x 235 x 40 mm
Vikt:1 095 g
Format:Häftad
Språk:Engelska
Serie:Applied Optimization
Antal sidor:719
Förlag:Springer-Verlag New York Inc.
ISBN:9781441954039

Utforska kategorier

Optimering inom Naturvetenskap och teknik
Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

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.