Hybrid Metaheuristics
Springer Berlin (Verlag)
978-3-540-75513-5 (ISBN)
Evolutionary Local Search for the Super-Peer Selection Problem and the p-Hub Median Problem.- An Effective Memetic Algorithm with Population Management for the Split Delivery Vehicle Routing Problem.- Empirical Analysis of Two Different Metaheuristics for Real-World Vehicle Routing Problems.- Guiding ACO by Problem Relaxation: A Case Study on the Symmetric TSP.- Hybrid Local Search Techniques for the Resource-Constrained Project Scheduling Problem.- Evolutionary Clustering Search for Flowtime Minimization in Permutation Flow Shop.- A Hybrid ILS Heuristic to the Referee Assignment Problem with an Embedded MIP Strategy.- On the Combination of Constraint Programming and Stochastic Search: The Sudoku Case.- Improvement Strategies for the F-Race Algorithm: Sampling Design and Iterative Refinement.- Using Branch & Bound Concepts in Construction-Based Metaheuristics: Exploiting the Dual Problem Knowledge.- Gradient-Based/Evolutionary Relay Hybrid for Computing Pareto Front Approximations Maximizing the S-Metric.- A Hybrid VNS for Connected Facility Location.- A Memetic Algorithm for the Optimum Communication Spanning Tree Problem.- Hybrid Numerical Optimization for Combinatorial Network Problems.
Erscheint lt. Verlag | 28.9.2007 |
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Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
Zusatzinfo | X, 201 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 334 g |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Algorithm analysis and problem complexity • Algorithmics • algorithms • ant colony optimization • approximation algorithms • clustering search • combinatorial optimization • Constraint Programming • Constraint Satisfaction • Data Analysis • evolutionary algorithms • Genetic algorithms • Hardcover, Softcover / Informatik, EDV/Informatik • HC/Informatik, EDV/Informatik • Heuristics • hybrid heuristics • Hybridization • Local Search • machine learning • memetic algorithm • Meta • Metaheuristics • Multi-Objective Optimization • Optimization • Parallelization • programming • scatter search • Simulated annealing • Tabu Search • Taxonomy • Vehicle Routing |
ISBN-10 | 3-540-75513-6 / 3540755136 |
ISBN-13 | 978-3-540-75513-5 / 9783540755135 |
Zustand | Neuware |
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