Learning and Intelligent Optimization: Designing, Implementing and Analyzing Effective Heuristics
Springer Berlin (Verlag)
9783642111686 (ISBN)
Evolutionary Dynamics of Extremal Optimization.- Evolutionary Dynamics of Extremal Optimization.- A Variable Neighborhood Descent Search Algorithm for Delay-Constrained Least-Cost Multicast Routing.- Expeditive Extensions of Evolutionary Bayesian Probabilistic Neural Networks.- New Bounds on the Clique Number of Graphs Based on Spectral Hypergraph Theory.- Beam-ACO Based on Stochastic Sampling: A Case Study on the TSP with Time Windows.- Flexible Stochastic Local Search for Haplotype Inference.- A Knowledge Discovery Approach to Understanding Relationships between Scheduling Problem Structure and Heuristic Performance.- Fitness Landscape Analysis for the Resource Constrained Project Scheduling Problem.- An ACO-Based Reactive Framework for Ant Colony Optimization: First Experiments on Constraint Satisfaction Problems.- Selection of Heuristics for the Job-Shop Scheduling Problem Based on the Prediction of Gaps in Machines.- Position-Guided Tabu Search Algorithm for the Graph Coloring Problem.- Corridor Selection and Fine Tuning for the Corridor Method.- Dynamic Multi-Armed Bandits and Extreme Value-Based Rewards for Adaptive Operator Selection in Evolutionary Algorithms.- Comparison of Coarsening Schemes for Multilevel Graph Partitioning.- Cooperative Strategies and Reactive Search: A Hybrid Model Proposal.- Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems.- MALIOB Workshop Papers.- Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment.- A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps.- Substitution Matrices and Mutual Information Approaches to Modeling Evolution.
| Erscheint lt. Verlag | 9.12.2009 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
| Zusatzinfo | XII, 273 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 439 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | algorithm portfolios • algorithms • constrain hybridization • Continuous Optimization • Discrete Optimization • Dynamic problems • evolutionary algorithm • Hardcover, Softcover / Informatik, EDV/Informatik • Heuristics • Heuristic Search • Intelligence • learning • Local Search • memory-based optimization • meta-heuristics • multi-objective problems • Optimization • optimization algorithms • reactive search • stochastic local search • stochastic problems • Tabu Search • Variable |
| ISBN-13 | 9783642111686 / 9783642111686 |
| Zustand | Neuware |
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