Learning and Intelligent Optimization

Chapter 1 Optimization for Urban Air Mobility

Chapter 2 A Matheuristic Algorithm for Solving the Vehicle Routing Problem with Cross-Docking

Chapter 4 QPTAS for the CVRP with a Moderate Number of Routes in a Metric Space of Any Fixed Doubling Dimension

Chapter 5 Early Detection of Eating Disorders Through Machine Learning Techniques

Chapter 6 On Finding Minimum Cardinality Subset of Vectors with a Constraint on the Sum of Squared Euclidean Pairwise Distances

Chapter 7 Practical Approximation Algorithms for Stabbing Special Families of Line Segments with Equal Disks

Chapter 8 A Class of Linear Programs Solvable by Coordinate-Wise Minimization

Chapter 9 Travel Times Equilibration Procedure for Route-Flow Traffic Assignment Problem

Chapter 10 confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms

Chapter 11 Randomized Algorithms for Some Sequence Clustering Problems

Chapter 12 Hyper-parameterized Dialectic Search for Non-linear Box-Constrained Optimization with Heterogenous Variable Types

Chapter 13 Least Squares K-SVCR Multi-class Classification

Chapter 14 Active Learning Based Framework for Image Captioning Corpus Creation

Chapter 15 Reducing Space Search in Combinatorial Optimization Using Machine Learning Tools

Chapter 16 Impact of the Discretization of VOCs for Cancer Prediction Using a Multi-Objective Algorithm

Chapter 17 AUGMECON2 Method for a Bi-objective U-Shaped Assembly Line Balancing Problem

Chapter 18 Two-Channel Conflict-Free Square Grid Aggregation

Chapter 19 Online Stacking Using RL with Positional and Tactical Features

Chapter 20 Power Consumption Estimation in Data Centers Using Machine Learning Techniques

Chapter 21 Automated Tuning of a Column Generation Algorithm

Chapter 22 Pool-Based Realtime Algorithm Configuration: A Preselection Bandit Approach

Chapter 23 A Memetic Approach for the Unicost Set Covering Problem

Chapter 24 Dynamic Visual Few-Shot Learning Through Parameter Prediction Network

Chapter 25 An Alternating DCA-Based Approach for Reduced-Rank Multitask Linear Regression with Covariance Estimation

Chapter 26 PSO-Based Cooperative Learning Using Chunking

Chapter 27 The Problem of the Hospital Surgery Department Debottlenecking

Chapter 28 Learning Optimal Control of Water Distribution Networks Through Sequential Model-Based Optimization

Chapter 29 Composition of Kernel and Acquisition Functions for High Dimensional Bayesian Optimization

Chapter 30 A Pareto Simulated Annealing for the Integrated Problem of Berth and Quay Crane Scheduling at Maritime Container Terminals with Multiple Objectives and Stochastic Arrival Times of Vessels

Chapter 31 HotelSimu: Simulation-Based Optimization for Hotel Dynamic Pricing

Chapter 32 Heuristic Search Strategies for Noisy Optimization

Chapter 33 Uncertainty of Efficient Frontier in Portfolio Optimization

Chapter 34 Learning to Configure Mathematical Programming Solvers by Mathematical Programming

Chapter 35 Convex Hulls in Solving Multiclass Pattern Recognition Problem

Chapter 36 Least Correntropic Loss Regression

Chapter 37 Novelty Discovery with Kernel Minimum Enclosing Balls

Chapter 38 DESICOM as Metaheuristic Search