Special Issue on "Metaheuristic-Driven Data Mining and Discrete Optimization for Intelligent Digital Technologies"

A special issue of Digital Technologies Research and Applications (DTRA) (E-ISSN: 2754-5687).
Deadline for manuscript submissions: 8 December 2026

Guest Editor:

Dr. Nur Ezlin Zamri
Affiliation: Department of Mathematics and Statistics, Faculty of Science, Universiti Putra Malaysia, 43400 UPM, Serdang, Selangor, Malaysia.
E-mail: ezlinzamri@upm.edu.my
Orcid: https://orcid.org/0000-0003-2919-1747
Research Interests:Artificial Intelligence, Data Mining, Neural Networks, Discrete Optimization, Intelligent Systems

Special Issue Information:

Dear Colleagues,

The rapid growth of digital technologies has created complex, high-dimensional, and discrete data-driven problems across areas such as intelligent systems, smart decision-making, healthcare informatics, cybersecurity, industrial automation, financial analytics, and digital transformation. Traditional computational methods often face limitations when dealing with large search spaces, nonlinear relationships, uncertain environments, combinatorial structures, and real-time optimization requirements.

This Special Issue aims to provide a platform for researchers to present novel theoretical developments, methodological advances, and practical applications of metaheuristic algorithms, data mining techniques, neural networks, and discrete optimization models for solving complex problems in digital technology environments. Particular attention is given to hybrid and intelligent approaches that combine metaheuristics with machine learning, deep learning, logic mining, feature selection, rule extraction, clustering, classification, scheduling, network optimization, and decision support systems.

Submissions may include original research articles, review papers, case studies, and applied computational frameworks that demonstrate how metaheuristic-based methods can improve data analysis, knowledge discovery, prediction accuracy, optimization performance, model interpretability, and computational efficiency. The Special Issue welcomes both algorithmic innovation and real-world applications, especially studies that contribute to the development of reliable, scalable, and intelligent digital systems.

Guest Editor:
Dr. Nur Ezlin Zamri

Keywords:

• Machine Learning
• Hybrid Optimization
• Rule Extraction
• Computational Intelligence

Manuscript Submission Information:

Please visit the Submissions Guidelines page before submitting a manuscript. Submitted papers should be well formatted and use good English. Manuscripts should be submitted online through the online manuscript submission and editorial system. Additionally, please include a cover letter specifying that the manuscript is intended for the Special Issue "Metaheuristic-Driven Data Mining and Discrete Optimization for Intelligent Digital Technologies" when submitting it online. Manuscripts can be submitted until the submission deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the Special Issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract can be sent to the Editor Lorena Gu lorena@ukscip.com for announcement on this website.