Learning and intelligent optimization : 16th International Conference, LION 16, Milos Island, Greece, June 5-10, 2022, revised selected papers / / Dimitris E. Simos [and four others] |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2023] |
Descrizione fisica | 1 online resource (576 pages) |
Disciplina | 519.3 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Machine learning
Mathematical optimization - Data processing |
ISBN | 3-031-24866-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Papers -- Optimal Scheduling of the Leaves of a Tree and the SVO Frequencies of Languages -- From Design of Experiments to Combinatorics of Disasters: A Conceptual Framework for Disaster Exercises -- Separating two polyhedra utilizing alternative theorems and penalty function -- Contributed Papers. -A Composite Index Method for Optimization Benchmarking -- Optimal Energy Management of Microgrid Using Multi-objective Optimisation Approach -- A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering -- Binary Black Widow Optimization Algorithm for Feature Selection Problems -- Learning to Solve a Stochastic Orienteering Problem with Time Windows -- ML-based approach for accelerating global search algorithm for solving multicriteria problems -- The Skewed Kruskal algorithm -- Bounds for sparse solutions of K-SVCR multi-class classification model -- Integer Linear Programming in Solving an Optimization Problem at the Mixing Department of the Metallurgical Production -- Realtime Gray-Box Algorithm Configuration -- Dynamic urban solid waste management system for smart cities -- Single MCMC Chain Parallelisation on Decision Trees -- Single MCMC Chain Parallelisation on Decision Trees -- Competitive supply allocation in a distribution network under overproduction -- Safe-exploration of control policies from safe-experience via Gaussian Processes -- Bayesian Optimization in Wasserstein Spaces -- Network Vulnerability Analysis in Wasserstein Spaces -- BERT Self-Learning Approach with Limited Labels for Document Classification -- Autonomous Learning Optimization for Deep Learning -- Optimizing Data Augmentation Policy through Random Unidimensional Search -- Evaluating Student Behaviour on the MathE Platform - Clustering Algorithms Approaches -- Unsupervised Training for Neural TSP Solver -- Comparing surrogate models for tuning optimization algorithms -- Search and Score-based Waterfall Auction Optimization -- Survey on KNN Methods in Data Science -- Constrained Shortest Path and Hierarchical Structures -- Investigation of Graph Neural Networks for Instance Segmentation of Industrial Point Cloud Data -- Fitness landscape ruggedness impact on PSO in dealing with three variants of the travelling salesman problem -- A Multi-UAVs’ Provider Model for the provision of 5G Service Chains: a game theoretic approach -- Metabolic Syndrome Risk Forecasting on Elderly with ML Techniques -- Airport Digital Twins for Resilient Disaster Management Response -- Strategies for Surviving Aggressive Multiparty Repeated Standoffs -- A Hybridization of GRASP and UTASTAR for Solving the Vehicle Routing Problem with Pickups and Deliveries and 3D Loading Constraints -- Packing hypertrees and the k-cut problem in Hypergraphs -- Maximizing the Eigenvalue-Gap and Promoting Sparsity of Doubly Stochastic Matrices with PSO -- Value of Information in the Mean-Square Case and its Application to the Analysis of Financial Time-Series Forecast. |
Record Nr. | UNISA-996511871803316 |
Cham, Switzerland : , : Springer International Publishing, , [2023] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Learning and intelligent optimization : 16th International Conference, LION 16, Milos Island, Greece, June 5-10, 2022, revised selected papers / / Dimitris E. Simos [and four others] |
Edizione | [1st ed. 2022.] |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer International Publishing, , [2023] |
Descrizione fisica | 1 online resource (576 pages) |
Disciplina | 519.3 |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Machine learning
Mathematical optimization - Data processing |
ISBN | 3-031-24866-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Papers -- Optimal Scheduling of the Leaves of a Tree and the SVO Frequencies of Languages -- From Design of Experiments to Combinatorics of Disasters: A Conceptual Framework for Disaster Exercises -- Separating two polyhedra utilizing alternative theorems and penalty function -- Contributed Papers. -A Composite Index Method for Optimization Benchmarking -- Optimal Energy Management of Microgrid Using Multi-objective Optimisation Approach -- A Stochastic Alternating Balance k-Means Algorithm for Fair Clustering -- Binary Black Widow Optimization Algorithm for Feature Selection Problems -- Learning to Solve a Stochastic Orienteering Problem with Time Windows -- ML-based approach for accelerating global search algorithm for solving multicriteria problems -- The Skewed Kruskal algorithm -- Bounds for sparse solutions of K-SVCR multi-class classification model -- Integer Linear Programming in Solving an Optimization Problem at the Mixing Department of the Metallurgical Production -- Realtime Gray-Box Algorithm Configuration -- Dynamic urban solid waste management system for smart cities -- Single MCMC Chain Parallelisation on Decision Trees -- Single MCMC Chain Parallelisation on Decision Trees -- Competitive supply allocation in a distribution network under overproduction -- Safe-exploration of control policies from safe-experience via Gaussian Processes -- Bayesian Optimization in Wasserstein Spaces -- Network Vulnerability Analysis in Wasserstein Spaces -- BERT Self-Learning Approach with Limited Labels for Document Classification -- Autonomous Learning Optimization for Deep Learning -- Optimizing Data Augmentation Policy through Random Unidimensional Search -- Evaluating Student Behaviour on the MathE Platform - Clustering Algorithms Approaches -- Unsupervised Training for Neural TSP Solver -- Comparing surrogate models for tuning optimization algorithms -- Search and Score-based Waterfall Auction Optimization -- Survey on KNN Methods in Data Science -- Constrained Shortest Path and Hierarchical Structures -- Investigation of Graph Neural Networks for Instance Segmentation of Industrial Point Cloud Data -- Fitness landscape ruggedness impact on PSO in dealing with three variants of the travelling salesman problem -- A Multi-UAVs’ Provider Model for the provision of 5G Service Chains: a game theoretic approach -- Metabolic Syndrome Risk Forecasting on Elderly with ML Techniques -- Airport Digital Twins for Resilient Disaster Management Response -- Strategies for Surviving Aggressive Multiparty Repeated Standoffs -- A Hybridization of GRASP and UTASTAR for Solving the Vehicle Routing Problem with Pickups and Deliveries and 3D Loading Constraints -- Packing hypertrees and the k-cut problem in Hypergraphs -- Maximizing the Eigenvalue-Gap and Promoting Sparsity of Doubly Stochastic Matrices with PSO -- Value of Information in the Mean-Square Case and its Application to the Analysis of Financial Time-Series Forecast. |
Record Nr. | UNINA-9910647771303321 |
Cham, Switzerland : , : Springer International Publishing, , [2023] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Learning and Intelligent Optimization [[electronic resource] ] : 15th International Conference, LION 15, Athens, Greece, June 20–25, 2021, Revised Selected Papers / / edited by Dimitris E. Simos, Panos M. Pardalos, Ilias S. Kotsireas |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (423 pages) |
Disciplina | 006.31 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Mathematics - Data processing
Computer engineering Computer networks Algorithms Computational Mathematics and Numerical Analysis Computer Engineering and Networks Aprenentatge automàtic |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-92121-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNISA-996464507203316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
|
Learning and Intelligent Optimization : 15th International Conference, LION 15, Athens, Greece, June 20–25, 2021, Revised Selected Papers / / edited by Dimitris E. Simos, Panos M. Pardalos, Ilias S. Kotsireas |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (423 pages) |
Disciplina | 006.31 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Mathematics - Data processing
Computer engineering Computer networks Algorithms Computational Mathematics and Numerical Analysis Computer Engineering and Networks Aprenentatge automàtic |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 3-030-92121-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910512187303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|