Optimization and Learning: 6th International Conference, OLA 2023, Malaga, Spain, May 3–5, 2023, Proceedings: Communications in Computer and Information Science, cartea 1824
Editat de Bernabé Dorronsoro, Francisco Chicano, Gregoire Danoy, El-Ghazali Talbien Limba Engleză Paperback – 27 mai 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.
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Specificații
ISBN-13: 9783031340192
ISBN-10: 3031340191
Pagini: 428
Ilustrații: XIV, 428 p. 136 illus., 119 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.62 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031340191
Pagini: 428
Ilustrații: XIV, 428 p. 136 illus., 119 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.62 kg
Ediția:1st ed. 2023
Editura: Springer Nature Switzerland
Colecția Springer
Seria Communications in Computer and Information Science
Locul publicării:Cham, Switzerland
Cuprins
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.- BinaryBlack 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.