The V edition of the International Conference on Optimization, Learning Algorithms and Applications (OL2A 2025) will provide a forum where academic scientists, researchers and research scholars will have the opportunity to exchange and share their experiences and research results on the challenges of optimization and learning methods and their applications.

Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference.
Full papers should be in English. The paper should have between 12 to 16 pages and the file size should not exceed 5 Megabytes.


List of Topics
Learning Theory
Optimization Theory
Linear Optimization Algorithms
Nonlinear Optimization Algorithms
Population-based Algorithms
Evolutionary-based Algorithms
Metaheuristic Optimization
Multi-objective Optimization
Mixed-integer Optimization
Integer Programing
Semi-infinite Programming
Dynamic Programming
Stochastic Programming
Uncertain Programming
Optimization in Control Systems
Big Data and AI
Learning Algorithms
Machine Learning and Soft Computing
Deep Learning Algorithms
Clustering and Classification Algorithms
Prediction Algorithms
Prediction Mathematical Models
Engineering (or other) Applications using Learning or Optimization Methods
Engineering Education using Learning or Optimization Methods

Publication
OL2A 2025 proceedings are papers accepted, registered and presented in the OL2A Conference. OL2A 2025 proceedings will be published by Springer-Verlag in Communications in Computer and Information Science (CCIS) and Scopus/WoS indexation.

If your paper is one of the 25% of the conference's best papers, you can submit your extended version (60% of which should contain new results) to the Special Issue "Trends on Optimization, Learning Algorithms and Applications " of Springer Nature Computer Science Journal.

Venue
The conference will be held in Sestri Levante, Genoa, Italy and Online

Contact
All questions about submissions should be emailed to ol2a@ipb.pt