Del 86 - Applied Optimization

Metaheuristics

Computer Decision-Making

Häftad, Engelska, 2010

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

4 049 kr

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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

Utgivningsdatum2010-12-06
Mått155 x 235 x 40 mm
Vikt1 095 g
FormatHäftad
SpråkEngelska
SerieApplied Optimization
Antal sidor719
FörlagSpringer-Verlag New York Inc.
ISBN9781441954039

Tillhör följande kategorier

Tillämpad matematik inom Naturvetenskap och teknik
Systemvetenskap och AI inom Data och IT
Teknik: allmänt inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT
Diskret matematik inom Naturvetenskap och teknik
Optimering inom Naturvetenskap och teknik

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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Handbook of Applied Optimization

PARDALOS, Pardalos, Panos M. Pardalos, Mauricio G. C. Resende, Gainesville) Pardalos, Panos M. (Professor and Director, Center for Applied Optimization, Industrial and Systems Engineering Department, Professor and Director, Center for Applied Optimization, Industrial and Systems Engineering Department, University of Florida, New Jersey) Resende, Mauricio G. C. (Principal Research Scientist, Principal Research Scientist, AT&T Laboratories

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Metaheuristics

Computer Decision-Making

Produktinformation

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Innehållsförteckning

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