Applications of Artificial Intelligence and Soft Computing in Process Systems Engineering
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 February 2025 | Viewed by 684
Special Issue Editors
Interests: process systems engineering; intelligent agents; reinforcement learning; process control; deep learning
Special Issue Information
Dear Colleagues,
This Special Issue, entitled "Applications of Artificial Intelligence and Soft Computing in Process Systems Engineering", aims to highlight innovative research and development of AI and soft computing techniques within process systems engineering (PSE). This Special Issue seeks to explore the transformative potential of AI methodologies, such as machine learning and deep learning, alongside soft computing approaches like fuzzy logic, genetic algorithms, and evolutionary computation in optimizing, controlling, and enhancing industrial processes to support the goals of Industry 5.0, such as developing sustainable and resilient systems.
We welcome the submission of original research articles, reviews, and case studies that address various aspects of PSE, including, but not limited to, the following:
- Machine learning and deep learning for process optimization;
- Reinforcement learning in process systems engineering;
- Neural networks in process control and monitoring;
- Fuzzy logic applications in industrial systems;
- Genetic algorithms and evolutionary computation for process design;
- AI-based predictive maintenance and fault detection;
- Integration of AI and IoT in process systems;
- Soft computing for supply chain and logistics optimization;
- Real-time process monitoring using AI techniques;
- Intelligent decision-making in process systems under uncertainty;
- Case studies on AI and soft computing applications in industry;
- Hybrid AI techniques in process systems engineering;
- Advanced data analytics for process improvement;
- Process simulation and modeling using AI tools;
- Development of AI-driven smart manufacturing systems;
- Optimization of chemical and biochemical processes with AI;
- Energy efficiency and sustainability through AI in PSE;
- AI in dynamic process scheduling and resource allocation;
- Application of AI in quality control and assurance;
- Soft computing methods for process safety and risk assessment;
- Stochastic modeling and optimization;
- Enhancing human–machine interaction in industrial processes using AI.
This Special Issue aims to provide a platform for academia and industry to disseminate cutting-edge findings, foster collaborations, and spur further advancements in the efficient and sustainable management of process systems through the intelligent application of AI and soft computing techniques.
Dr. Alex Kummer
Prof. Dr. János Abonyi
Guest Editors
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- process optimization
- deep learning
- evolutionary computation
- process monitoring
- predictive maintenance
- process control
- automation
- intelligent agents
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