Special Issue: AI and Optimization Techniques for Applied Mathematics in Engineering

Special Issue Description

Mathematical problems in engineering are known for their complexity, often requiring innovative approaches to find efficient and effective solutions. Traditional exact search methods, while capable of delivering optimal results, are typically impractical for real-world NP-complete and NP-hard problems due to their high computational requirements. Over the past years, researchers have increasingly turned to advanced AI and optimization algorithms to tackle these challenges in various engineering fields.
This Special Issue aims to bring together high-quality research contributions that focus on the application of AI-driven optimization methods from an applied mathematics perspective to solve complex engineering problems. We welcome submissions that explore the development and application of heuristic and metaheuristic algorithms as well as other AI-driven soft computing techniques such as artificial neural networks, machine learning, deep learning, and fuzzy systems.
This Special Issue seeks to highlight innovative design of AI-driven optimization techniques that balance complexity and efficiency, enabling practical solutions for real-world engineering problems. We welcome high-quality submissions related to industrial, electrical, computer, chemical, and mechanical engineering, information sciences, business intelligence, operations research, logistics, and management systems. By focusing on cutting-edge research and practical applications, this Special Issue aims to advance the field of optimization for complex engineering challenges.
Keywords:
Applied mathematics in engineering
Complex systems
Artificial intelligence
Optimization algorithms
Operations research
Industrial mathematics
Discrete mathematics
Heuristic and metaheuristic algorithms
Machine learning
Fuzzy sets and systems

 

Guest Editor

Name: Mohammad Shokouhifar
Affiliation:
DTU AI and Data Science Hub (DAIDASH), Duy Tan University, Da Nang, Vietnam
Google Scholar:
https://scholar.google.com/citations?user=Of8s98UAAAAJ&hl=en&oi=ao
Email Address: mohammadshokouhifar@duytan.edu.vn

 

Submission Information

Submit it online: http://ojs.wiserpub.com/index.php/CM/user/register

Or send it to the email address:  editorcm@universalwiser.com

 

Submission Guideline

https://ojs.wiserpub.com/index.php/CM/about/submissions

 

For any inquiries about this Special Issue, please contact the Editors via editorcm@universalwiser.com