Vor Ort
Merkzettel Warenkorb
  • Produktbild: Learning and Intelligent Optimization
  • Produktbild: Learning and Intelligent Optimization

Learning and Intelligent Optimization 7th International Conference, LION 7, Catania, Italy, January 7-11, 2013, Revised Selected Papers

Aus der Reihe Theoretical Computer Science and General Issues

51,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.12.2013

Abbildungen

XV, 120 illus., schwarz-weiss Illustrationen

Herausgeber

Giuseppe Nicosia + weitere

Verlag

Springer Berlin

Seitenzahl

470

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

733 g

Auflage

2013

Sprache

Englisch

ISBN

978-3-642-44972-7

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

09.12.2013

Abbildungen

XV, 120 illus., schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer Berlin

Seitenzahl

470

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

733 g

Auflage

2013

Sprache

Englisch

ISBN

978-3-642-44972-7

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: GPSR Kontakt

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)
  • Produktbild: Learning and Intelligent Optimization
  • Produktbild: Learning and Intelligent Optimization
  • Interleaving Innovization with Evolutionary Multi-Objective Optimization in Production System Simulation for Faster Convergence.- Intelligent optimization for the minimum labelling spanning tree problem.- A Constraint Satisfaction Approach to Tractable Theory Induction.- Features for Exploiting Black-Box Optimization Problem Structure.- MOCA-I: Discovering Rules and Guiding Decision Maker in the Context of Partial Classification in Large and Imbalanced Datasets.- Sharing Information in Parallel Search with Search Space Partitioning.- Fast Computation of the Multi-points Expected Improvement with Applications in Batch Selection.- R2-EMOA: Focused Multiobjective Search Using R2-Indicator-Based Selection.- A Heuristic Algorithm for the Set Multicover Problem with Generalized Upper Bound Constraints.- A genetic algorithm approach for the multidimensional two-way number partitioning problem.- Adaptive Dynamic Load Balancing in Heterogeneous Multiple GPUs-CPUs Distributed Setting: Case Study of B&B Tree Search.- Multi-objective optimization for relevant sub-graph extraction.- PROGRESS: Progressive Reinforcement-Learning-Based Surrogate Selection.- Neutrality in the Graph Coloring Problem.- Kernel multi label vector optimization (kMLVO) - A unified multi-label classification formalism.- Robust Benchmark Set Selection for Boolean Constraint Solvers.- Boosting Sequential Solver Portfolios: Knowledge Sharing and Accuracy Prediction.- A Fast and Adaptive Local Search Algorithm for Multi-Objective Optimization.- An Analysis of Hall-of-Fame Strategies in Competitive Coevolutionary Algorithms for Self-Learning in RTS Games.- Resources Optimization in (Video) Games: a Novel Approach to Teach Applied Mathematics.- CMF: a combinatorial tool to find composite motifs.- Hill-climbing Behaviour on Quantized NK-landscapes.- Neighbourhood Specification for Game Strategy Evolution in a Spatial Iterated Prisoners Dilemma Game.- A Study on the Specification of a Scalarizing Function in MOEA/D for Many-Objective Knapsack Problems.- Portfolio with Block Branching for Parallel SAT Solvers.- Parameter Setting with Dynamic Island Models.- A simulated annealing algorithm for the vehicle routing problem with time windows and synchronization constraints.- Solution of the maximum k-balanced subgraph problem.- Racing with a Fixed Budget and a Self-Adaptive Significance Level.- An efficient best response heuristic for a non-preemptive strictly periodic scheduling problem.- Finding an evolutionary solution to the game of Mastermind with good scaling behaviour.- A Fast Local Search Approach For Multiobjective problems.- Generating Customized Landscapes in Permutation-based Combinatorial Optimization Problems.- Multiobjective Evolution of Mixed Nash Equilibria.- Hybridizing Constraint Programming and Monte-Carlo Tree Search: Application to the Job Shop problem.- From Grammars to Parameters: Automatic Iterated Greedy Design for the Permutation Flow-shop Problem with Weighted Tardiness.- Architecture for Monitoring Learning Processes using Video Games.- Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning.- Evolutionary FSM-Based Agents for Playing Super Mario Game.- Identifying Key Algorithm Parameters and Instance Features using Forward Selection.- Using Racing to Automatically Configure Algorithms for Scaling Performance.- Algorithm Selection for the Graph Coloring Problem.- Batched Mode Hyper-heuristics.- Tuning algorithms for tackling large instances: An experimental protocol.- Automated Parameter Tuning Framework for Heterogeneous and Large Instances: Case Study in Quadratic Assignment Problem.- Practically Desirable Solutions Search on Multi-Objective Optimization.- Oversized Populations and Cooperative Selection: Dealing with Massive Resources in Parallel Infrastructures.- Effects of Population Size on Selection and Scalability in Evolutionary Many-objective Optimization.- A novel feature selection method for classification using a fuzzy criterion.