Evolutionary Computation in Combinatorial Optimization: 7th European Conference, EvoCOP 2007, Valencia, Spain, April 11-13, 2007, Proceedings: Lecture Notes in Computer Science, cartea 4446
Editat de Carlos Cotta, Jano van Hemerten Limba Engleză Paperback – 30 mar 2007
| Toate formatele și edițiile | Preț | Express |
|---|---|---|
| Paperback (1) | 321.39 lei 6-8 săpt. | |
| Springer – 14 mar 2008 | 321.39 lei 6-8 săpt. | |
| Paperback (1) | 318.00 lei 6-8 săpt. | |
| Springer Berlin, Heidelberg – 30 mar 2007 | 318.00 lei 6-8 săpt. |
Din seria Lecture Notes in Computer Science
- 20%
Preț: 323.14 lei - 20%
Preț: 461.32 lei - 20%
Preț: 460.98 lei - 20%
Preț: 390.41 lei - 20%
Preț: 526.98 lei - 15%
Preț: 388.21 lei - 20%
Preț: 461.21 lei - 20%
Preț: 390.08 lei - 20%
Preț: 496.30 lei - 20%
Preț: 461.21 lei - 20%
Preț: 389.45 lei - 15%
Preț: 461.53 lei - 20%
Preț: 389.63 lei - 20%
Preț: 496.68 lei - 20%
Preț: 461.70 lei - 20%
Preț: 251.97 lei - 20%
Preț: 390.86 lei - 20%
Preț: 532.16 lei - 20%
Preț: 461.52 lei - 20%
Preț: 255.72 lei - 20%
Preț: 498.10 lei - 20%
Preț: 497.19 lei - 20%
Preț: 499.02 lei - 20%
Preț: 389.82 lei - 20%
Preț: 390.92 lei - 20%
Preț: 390.86 lei - 20%
Preț: 390.92 lei - 20%
Preț: 390.08 lei - 20%
Preț: 461.45 lei - 20%
Preț: 392.36 lei - 20%
Preț: 460.75 lei - 20%
Preț: 461.32 lei - 20%
Preț: 389.90 lei - 20%
Preț: 639.26 lei - 20%
Preț: 390.66 lei - 20%
Preț: 391.57 lei - 20%
Preț: 389.57 lei - 20%
Preț: 497.97 lei - 20%
Preț: 462.36 lei - 20%
Preț: 460.67 lei - 20%
Preț: 423.95 lei - 5%
Preț: 515.91 lei - 15%
Preț: 535.55 lei - 20%
Preț: 531.90 lei - 20%
Preț: 403.00 lei - 20%
Preț: 535.41 lei - 20%
Preț: 461.25 lei - 20%
Preț: 498.17 lei - 20%
Preț: 461.52 lei - 20%
Preț: 249.77 lei
Preț: 318.00 lei
Preț vechi: 397.50 lei
-20%
Puncte Express: 477
Preț estimativ în valută:
56.32€ • 65.77$ • 48.92£
56.32€ • 65.77$ • 48.92£
Carte tipărită la comandă
Livrare economică 21 februarie-07 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9783540716143
ISBN-10: 3540716149
Pagini: 260
Ilustrații: XII, 244 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.37 kg
Ediția:2007
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3540716149
Pagini: 260
Ilustrații: XII, 244 p.
Dimensiuni: 155 x 235 x 20 mm
Greutate: 0.37 kg
Ediția:2007
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
A New Local Search Algorithm for the DNA Fragment Assembly Problem.- A Hybrid Immune-Based System for the Protein Folding Problem.- A Genetic Algorithm for the Resource Renting Problem with Minimum and Maximum Time Lags.- A Probabilistic Beam Search Approach to the Shortest Common Supersequence Problem.- Genetic Algorithms for Word Problems in Partially Commutative Groups.- A GRASP and Branch-and-Bound Metaheuristic for the Job-Shop Scheduling.- Reducing the Size of Traveling Salesman Problem Instances by Fixing Edges.- Iterated k-Opt Local Search for the Maximum Clique Problem.- Accelerating Local Search in a Memetic Algorithm for the Capacitated Vehicle Routing Problem.- Evolutionary Algorithms for Real-World Instances of the Automatic Frequency Planning Problem in GSM Networks.- A New Metaheuristic for the Vehicle Routing Problem with Split Demands.- Generation of Tree Decompositions by Iterated Local Search.- Edge Assembly Crossover for the Capacitated Vehicle Routing Problem.- Tackling the Container Loading Problem: A Hybrid Approach Based on Integer Linear Programming and Genetic Algorithms.- A Population-Based Local Search for Solving a Bi-objective Vehicle Routing Problem.- Combining Lagrangian Decomposition with an Evolutionary Algorithm for the Knapsack Constrained Maximum Spanning Tree Problem.- Exact/Heuristic Hybrids Using rVNS and Hyperheuristics for Workforce Scheduling.- An Analysis of Problem Difficulty for a Class of Optimisation Heuristics.- A New Grouping Genetic Algorithm for the Quadratic Multiple Knapsack Problem.- A Hybrid Method for Solving Large-Scale Supply Chain Problems.- Crossover Operators for the Car Sequencing Problem.