Optimization and learning 6th International Conference, OLA 2023, Malaga, Spain, May 3-5, 2023, Proceedings /
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 se...
| Corporate Authors: | OLA (Conference) Malaga, Spain) |
|---|---|
| Other Authors: | OLA (Conference), Dorronsoro, Bernabé, Chicano, Francisco, Danoy, Grégoire, 1979-, Talbi, El-Ghazali, 1965-, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2023.
|
| Physical Description: |
1 online resource (xiv, 428 pages) : illustrations (some color). |
| Series: |
Communications in computer and information science ;
1824. |
| Subjects: |
Table of Contents:
- 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{u2019}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{u2019}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.