Topic Editors

Artificial Intelligence College, Future Technology College, Nanjing University of Information Science and Technology, Nanjing, China
Prof. Dr. Junzo Watada
Graduate School of Information, Production and Systems, Waseda University, Tokyo, Japan
VSB, Technical University of Ostrava, 708 00 Ostrava, Czech Republic
Dr. Pei Hu
School of Computer and Software, Nanyang Institute of Technology, Nanyang, China

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

Abstract submission deadline
28 February 2025
Manuscript submission deadline
30 April 2025
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Topic Information

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


  • machine learning
  • large-scale optimization
  • multi-objective optimization
  • high-dimensional data analysis
  • artificial intelligence

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
- 7.2 2020 20.8 Days CHF 1600 Submit
3.8 3.4 2011 14.6 Days CHF 2600 Submit
2.8 5.4 2012 17.7 Days CHF 1800 Submit
4.8 5.6 2017 17.9 Days CHF 2600 Submit
2.7 4.9 1999 20.8 Days CHF 2600 Submit
2.7 5.4 2009 16.2 Days CHF 2400 Submit is a multidiscipline platform providing preprint service that is dedicated to sharing your research from the start and empowering your research journey.

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