Optimization, Learning Algorithms and Applications
Description
The two-volume set CCIS 2617 and 2618 constitutes the refereed post-conference proceedings of the 5th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2025, held in Sesti Levante, Italy, during April 28-30, 2025.
The 38 revised full papers presented in these proceedings were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections:
Part I: Optimization; Optimization in Control Systems Design; Artificial Intelligence in Healthcare and Medicine; and Deep Learning.
Part II: Optimization in the SDG context; Machine Learning; and Machine Learning and Artificial Intelligence in Robotics.
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Content
.- Optimization .
.- On the impact of message brokers implementations in the choreography of microservices.
.- Integrating Aging-Awareness into Price-Optimized PV-Battery Controllers Using Stochastic Dynamic Programming.
.- Intelligent Inventory Rotation and Revenue Optimization Using Integer Linear Programming: A Coffee Shop Case Study.
.- Optimizing E-Learning with MoodleCloud: A Framework for Individualized Learning Paths.
.- Decision support system for scheduling vehicle maintenance and repair activities in an automotive repair shop.
.- Optimization in Control Systems Design .
.- An OpenModelica package for BELBIC.
.- Performance Benchmarking of OR-Tools Methods for Capacitated Vehicle Routing Problems with Time Windows.
.- The Impact of Data Representation on Predicting Aircraft Component Removals.
.- Risk-Aware Optimal Camera Placement for Forest Fire Detection and Monitoring.
.- Shadow Dexterous Hand: Kinematic Retargeting Algorithms Comparison.
.- Improved Performance of Stochastic Gradients with Gaussian Smoothing.
.- Artificial Intelligence in Healthcare and Medicine .
.- Schizophrenia Diagnosis Support with Spectral and Cepstral Features of Speech.
.- Influence of Habits and Comorbidities on Liver Disease.
.- Interconnection Between Lifestyle, Health, and Academic Outcomes: an Analysis on Study Habits and Well-being.
.- Classification of Breast Cancer Subtypes Using Machine and Deep Learning on Gene Expression Data with Hyperparameter Optimization.
.- Forecasting COVID-19 in European Countries Using Long Short-Term Memory.
.- A classifier based on neural network and differential evolution algorithm for hepatitis prediction.