top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Learning and intelligent optimization : 4th International Conference, LION 4, Venice, Italy, January 18-22, 2010 : selected papers / / Christian Blum, Roberto Battiti, (eds.)
Learning and intelligent optimization : 4th International Conference, LION 4, Venice, Italy, January 18-22, 2010 : selected papers / / Christian Blum, Roberto Battiti, (eds.)
Edizione [1st ed.]
Pubbl/distr/stampa New York, : Springer, 2010
Descrizione fisica 1 online resource (XIV, 344 p. 97 illus.)
Disciplina 005.1
Altri autori (Persone) BlumChristian <1972->
BattitiRoberto <1961->
Collana Lecture notes in computer science
LNCS sublibrary. SL 1, Theoretical computer science and general issues
Soggetto topico Computational intelligence
Mathematical optimization
Program transformation (Computer programming)
ISBN 1-280-38739-4
9786613565310
3-642-13800-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Main Track (Regular Papers) -- A Column Generation Heuristic for the General Vehicle Routing Problem -- A Combination of Evolutionary Algorithm, Mathematical Programming, and a New Local Search Procedure for the Just-In-Time Job-Shop Scheduling Problem -- A Math-Heuristic Algorithm for the DNA Sequencing Problem -- A Randomized Iterated Greedy Algorithm for the Founder Sequence Reconstruction Problem -- Adaptive “Anytime” Two-Phase Local Search -- Adaptive Filter SQP -- Algorithm Selection as a Bandit Problem with Unbounded Losses -- Bandit-Based Estimation of Distribution Algorithms for Noisy Optimization: Rigorous Runtime Analysis -- Consistency Modifications for Automatically Tuned Monte-Carlo Tree Search -- Distance Functions, Clustering Algorithms and Microarray Data Analysis -- Gaussian Process Assisted Particle Swarm Optimization -- Learning of Highly-Filtered Data Manifold Using Spectral Methods -- Multiclass Visual Classifier Based on Bipartite Graph Representation of Decision Tables -- Main Track (Short Papers) -- A Linear Approximation of the Value Function of an Approximate Dynamic Programming Approach for the Ship Scheduling Problem -- A Multilevel Scheme with Adaptive Memory Strategy for Multiway Graph Partitioning -- A Network Approach for Restructuring the Korean Freight Railway Considering Customer Behavior -- A Parallel Multi-Objective Evolutionary Algorithm for Phylogenetic Inference -- Convergence of Probability Collectives with Adaptive Choice of Temperature Parameters -- Generative Topographic Mapping for Dimension Reduction in Engineering Design -- Learning Decision Trees for the Analysis of Optimization Heuristics -- On the Coordination of Multidisciplinary Design Optimization Using Expert Systems -- On the Potentials of Parallelizing Large Neighbourhood Search for Rich Vehicle Routing Problems -- Optimized Ensembles for Clustering Noisy Data -- Stochastic Local Search for the Optimization of Secondary Structure Packing in Proteins -- Systematic Improvement of Monte-Carlo Tree Search with Self-generated Neural-Networks Controllers -- Special Session: LION-SWOP -- Grapheur: A Software Architecture for Reactive and Interactive Optimization -- The EvA2 Optimization Framework -- Special Session: LION-CCEC -- Feature Extraction from Optimization Data via DataModeler’s Ensemble Symbolic Regression -- Special Session: LION-PP -- Understanding TSP Difficulty by Learning from Evolved Instances -- Time-Bounded Sequential Parameter Optimization -- Pitfalls in Instance Generation for Udine Timetabling -- Special Session: LION-MOME -- A Study of the Parallelization of the Multi-Objective Metaheuristic MOEA/D -- An Interactive Evolutionary Multi-objective Optimization Method Based on Polyhedral Cones -- On the Distribution of EMOA Hypervolumes -- Adapting to a Realistic Decision Maker: Experiments towards a Reactive Multi-objective Optimizer.
Record Nr. UNINA-9910483740903321
New York, : Springer, 2010
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Learning and Intelligent Optimization [[electronic resource] ] : Second International Conference, LION 2007 II, Trento, Italy, December 8-12, 2007. Selected Papers / / edited by Vittorio Maniezzo, Roberto Battiti, Jean-Paul Watson
Learning and Intelligent Optimization [[electronic resource] ] : Second International Conference, LION 2007 II, Trento, Italy, December 8-12, 2007. Selected Papers / / edited by Vittorio Maniezzo, Roberto Battiti, Jean-Paul Watson
Edizione [1st ed. 2008.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008
Descrizione fisica 1 online resource (XII, 243 p.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer programming
Computer science
Algorithms
Numerical analysis
Computer science—Mathematics
Mathematical statistics
Artificial intelligence
Programming Techniques
Theory of Computation
Numerical Analysis
Probability and Statistics in Computer Science
Artificial Intelligence
ISBN 3-540-92695-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Nested Partitioning for the Minimum Energy Broadcast Problem -- An Adaptive Memory-Based Approach Based on Partial Enumeration -- Learning While Optimizing an Unknown Fitness Surface -- On Effectively Finding Maximal Quasi-cliques in Graphs -- Improving the Exploration Strategy in Bandit Algorithms -- Learning from the Past to Dynamically Improve Search: A Case Study on the MOSP Problem -- Image Thresholding Using TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm -- Explicit and Emergent Cooperation Schemes for Search Algorithms -- Multiobjective Landscape Analysis and the Generalized Assignment Problem -- Limited-Memory Techniques for Sensor Placement in Water Distribution Networks -- A Hybrid Clustering Algorithm Based on Honey Bees Mating Optimization and Greedy Randomized Adaptive Search Procedure -- Ant Colony Optimization and the Minimum Spanning Tree Problem -- A Vector Assignment Approach for the Graph Coloring Problem -- Rule Extraction from Neural Networks Via Ant Colony Algorithm for Data Mining Applications -- Tuning Local Search by Average-Reward Reinforcement Learning -- Evolution of Fitness Functions to Improve Heuristic Performance -- A Continuous Characterization of Maximal Cliques in k-Uniform Hypergraphs -- Hybrid Heuristics for Multi-mode Resource-Constrained Project Scheduling.
Record Nr. UNISA-996466349303316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Learning and Intelligent Optimization : Second International Conference, LION 2007 II, Trento, Italy, December 8-12, 2007. Selected Papers / / edited by Vittorio Maniezzo, Roberto Battiti, Jean-Paul Watson
Learning and Intelligent Optimization : Second International Conference, LION 2007 II, Trento, Italy, December 8-12, 2007. Selected Papers / / edited by Vittorio Maniezzo, Roberto Battiti, Jean-Paul Watson
Edizione [1st ed. 2008.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008
Descrizione fisica 1 online resource (XII, 243 p.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer programming
Computer science
Algorithms
Numerical analysis
Computer science—Mathematics
Mathematical statistics
Artificial intelligence
Programming Techniques
Theory of Computation
Numerical Analysis
Probability and Statistics in Computer Science
Artificial Intelligence
ISBN 3-540-92695-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Nested Partitioning for the Minimum Energy Broadcast Problem -- An Adaptive Memory-Based Approach Based on Partial Enumeration -- Learning While Optimizing an Unknown Fitness Surface -- On Effectively Finding Maximal Quasi-cliques in Graphs -- Improving the Exploration Strategy in Bandit Algorithms -- Learning from the Past to Dynamically Improve Search: A Case Study on the MOSP Problem -- Image Thresholding Using TRIBES, a Parameter-Free Particle Swarm Optimization Algorithm -- Explicit and Emergent Cooperation Schemes for Search Algorithms -- Multiobjective Landscape Analysis and the Generalized Assignment Problem -- Limited-Memory Techniques for Sensor Placement in Water Distribution Networks -- A Hybrid Clustering Algorithm Based on Honey Bees Mating Optimization and Greedy Randomized Adaptive Search Procedure -- Ant Colony Optimization and the Minimum Spanning Tree Problem -- A Vector Assignment Approach for the Graph Coloring Problem -- Rule Extraction from Neural Networks Via Ant Colony Algorithm for Data Mining Applications -- Tuning Local Search by Average-Reward Reinforcement Learning -- Evolution of Fitness Functions to Improve Heuristic Performance -- A Continuous Characterization of Maximal Cliques in k-Uniform Hypergraphs -- Hybrid Heuristics for Multi-mode Resource-Constrained Project Scheduling.
Record Nr. UNINA-9910483653503321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui