Advanced Optimization -- A comparative study of fractal-based decomposition optimization -- Diagonal Barzilai-Borwein rules in stochastic gradient-like methods -- Algorithm Selection for Large-Scale Multi-objective Optimization -- Solving a Multi-Objective Jop Shop Scheduling Problem With An Automatically Configured Evolutionary Algorithm -- Solving the Nurse Scheduling Problem using the Whale Optimization Algorithm -- A hierarchical Cooperative Coevolutionary approach to solve Very Large-scale Traveling Salesman Problem -- Tornado: An Autonomous Chaotic Algorithm For High Dimensional Global Optimization Problems -- Learning -- Neural Network Information Leakage through Hidden Learning -- Mixing Data Augmentation Methods for Semantic Segmentation -- Real-time elastic partial shape matching using a neural network-based adjoint method -- We won't get fooled again: when performance metric malfunction affects the landscape of hyperparameter optimization problems -- Condition-based maintenance optimization under large action space with deep reinforcement learning method -- Learning methods to enhance optimization tools -- An Application of Machine Learning Tools to Predict the Number of Solutions for a Minimum Cardinality Set Covering Problem -- Adaptative Local Search for a Pickup and Delivery Problem Applied to Large Parcel Distribution -- Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic -- Multi-objective optimization of adhesive bonding process in constrained and noisy settings -- Evaluating Surrogate Models for Robot Swarm Simulations -- Interactive Job Scheduling with Partially Known Personnel Availabilities -- Multi-Armed Bandit-based Metaheuristic Operator Selection: The Pendulum Algorithm binarization case -- Optimization applied to learning methods -- Binary Black Widow with Hill Climbing Algorithm for Feature Selection -- Optimization of Fuzzy C-Means with Alternating Direction Method of Multipliers -- Partial K-means with M outliers: Mathematical programs and complexity results -- An optimization approach for optimizing PRIM's randomly generated rules using the Genetic Algorithm -- Real-world Applications -- A fast methodology to find Decisively Strong Association Rules (DSR) -- Characterization and categorization of software programs on x86 architectures -- Robot-Assisted Delivery problems and Their Exact Solutions -- Modeling and analysis of organizational network analysis graphs based on employee data -- Time Series Forecasting for Parking Occupancy: Case Study of Malaga and Birmingham Cities -- E-scooters Routes Potential: Open Data Analysis in Current Infrastructure. Malaga Case -- Automatic Generation of Subtitles for Videos of the Government of La Rioja -- Estimation of the distribution of Body Mass Index (BMI) with sparse and low-quality data. The case of the Chilean adult population -- A New Automated Customer Prioritization Method. .

This book constitutes the refereed proceedings of the 6th International Conference on Optimization and Learning, OLA 2023, held in Malaga, Spain, during May 3-5, 2023. The 32 full papers included in this book were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: advanced optimization; learning; learning methods to enhance optimization tools; optimization applied to learning methods; and real-world applications.