Atjaunināt sīkdatņu piekrišanu

Learning and Intelligent Optimization: 16th International Conference, LION 16, Milos Island, Greece, June 510, 2022, Revised Selected Papers 1st ed. 2022 [Mīkstie vāki]

Edited by , Edited by , Edited by , Edited by , Edited by
  • Formāts: Paperback / softback, 566 pages, height x width: 235x155 mm, weight: 878 g, 140 Illustrations, color; 31 Illustrations, black and white; XIV, 566 p. 171 illus., 140 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13621
  • Izdošanas datums: 05-Feb-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031248651
  • ISBN-13: 9783031248658
Citas grāmatas par šo tēmu:
  • Mīkstie vāki
  • Cena: 82,61 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Standarta cena: 97,19 €
  • Ietaupiet 15%
  • Grāmatu piegādes laiks ir 3-4 nedēļas, ja grāmata ir uz vietas izdevniecības noliktavā. Ja izdevējam nepieciešams publicēt jaunu tirāžu, grāmatas piegāde var aizkavēties.
  • Daudzums:
  • Ielikt grozā
  • Piegādes laiks - 4-6 nedēļas
  • Pievienot vēlmju sarakstam
Learning and Intelligent Optimization: 16th International Conference, LION 16, Milos Island, Greece, June 510, 2022, Revised Selected Papers 1st ed. 2022Palielināt
  • Formāts: Paperback / softback, 566 pages, height x width: 235x155 mm, weight: 878 g, 140 Illustrations, color; 31 Illustrations, black and white; XIV, 566 p. 171 illus., 140 illus. in color., 1 Paperback / softback
  • Sērija : Lecture Notes in Computer Science 13621
  • Izdošanas datums: 05-Feb-2023
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3031248651
  • ISBN-13: 9783031248658
Citas grāmatas par šo tēmu:
Permanent link: https://www.kriso.lv/db/9783031248658.html
Keywords:
This book constitutes the refereed proceedings of the 16th International Conference on Learning and Intelligent Optimization, LION 16, which took place in Milos Island, Greece, in June 2022.

The 36 full papers and 3 short papers presented in this volume were carefully reviewed and selected from 60 submissions. LION deals with automatic solver configuration, parallel methods, intelligent optimization, nature-inspired algorithms, hard combinatorial optimization problems, DC learning, computational intelligence, and others. The contributions were organized in topical sections as follows: Invited Papers; Contributed Papers.

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 ofDoubly
Stochastic Matrices with PSO.- Value of Information in the Mean-Square Case
and its Application to the Analysis of Financial Time-Series Forecast.