Soft Computing Modeling and Optimization of Intelligent Manufacturing Systems
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E: Applied Mathematics".
Deadline for manuscript submissions: 28 February 2026 | Viewed by 5
Special Issue Editor
Special Issue Information
Dear Colleagues,
Given the ongoing developments of soft computing techniques and the high demand to improve the competitiveness of the manufacturing industry in a challenging global context, soft computing has been increasingly applied to bring added value to manufacturing research and practice in the last decade.
This Special Issue aims to provide a research platform to showcase the benefits and effectiveness of soft computing techniques in addressing different problems of intelligent manufacturing systems, including modeling and optimization at all three levels: process, workstation, and system.
The contributions concerning the following topics are especially welcome:
- Development of novel soft computing approaches designed to resolve the above manufacturing problems, including the following:
- Metaheuristics;
- Evolutionary computing techniques;
- Machine learning (ML) techniques;
- Artificial intelligence (AI) techniques;
- Generative artificial intelligence (GenAI) models;
- Innovative applications of soft computing techniques in manufacturing, including the novel formulation of the manufacturing problems, tackling the complexity of modeling and optimization of intelligent manufacturing systems at different levels:
- Manufacturing process level;
- Manufacturing workstation level;
- Manufacturing system level, including the supply chain and manufacturing ecosystem implications.
I look forward to receiving state-of-the-art, original research articles and reviews demonstrating the advantages of applying soft computing in dealing with complex issues in contemporary manufacturing systems, opening new frontiers of knowledge and fostering industrial applications.
Prof. Dr. Tatjana Sibalija
Guest Editor
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Keywords
- soft computing
- metaheuristics
- evolutionary computing
- neural networks
- machine learning (ML)
- generative AI
- manufacturing
- manufacturing system
- manufacturing workstation
- manufacturing process
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