Applications of Machine Learning in Large-Scale Optimization and High-Dimensional Learning

Dear Colleagues,

Machine Learning (ML) has found a wide range of applications in large-scale optimization and high-dimensional learning problems. Below are some notable areas where ML is applied:

1. Large-Scale Optimization: ML techniques are used to tackle complex optimization problems in various domains. These include optimizing supply chain logistics, scheduling tasks in industrial processes, and parameter tuning in machine learning algorithms;
2. Multi-Objective Optimization: ML is well suited for multi-objective optimization problems, where there are multiple conflicting objectives to be optimized simultaneously. These scenarios are common in fields such as engineering, finance, and resource allocation;
3. High-Dimensional Data Analysis: ML aids in discovering patterns in high-dimensional data. These patterns can be used in various applications, such as customer segmentation in marketing, anomaly detection, and image segmentation.

Prof. Dr. Jeng-Shyang Pan
Prof. Dr. Junzo Watada
Prof. Dr. Vaclav Snasel
Dr. Pei Hu
Topic Editors