Learning and Intelligent Optimization : 16th International Conference, LION 16, Milos Island, Greece, June 5–10, 2022, Revised Selected Papers / edited by Dimitris E. Simos, Varvara A. Rasskazova, Francesco Archetti, Ilias S. Kotsireas, Panos M. Pardalos.

Format:

Book

Author/Creator:

Simos, Dimitris E., author.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 13621

Language:

English

Subjects (All):

Numerical analysis.

Computer science--Mathematics.

Computer science.

Mathematical statistics.

Artificial intelligence.

Social sciences--Data processing.

Social sciences.

Computers.

Numerical Analysis.

Probability and Statistics in Computer Science.

Theory of Computation.

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Computing Milieux.

Local Subjects:

Numerical Analysis.

Probability and Statistics in Computer Science.

Theory of Computation.

Artificial Intelligence.

Computer Application in Social and Behavioral Sciences.

Computing Milieux.

Physical Description:

1 online resource (576 pages)

Edition:

1st ed. 2022.

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2022.

Summary:

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.

Contents:

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

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.

Other Format:

Print version: Simos, Dimitris E. Learning and Intelligent Optimization

ISBN:

3-031-24866-X