Special Issues
Algorithms publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions. Special Issues are led by Guest Editors, who are experts on the topic and all Special Issue submissions follow MDPI's standard editorial process.
The journal’s Editor-in-Chief and/or designated Editorial Board Member will oversee Guest Editor appointments and Special Issue proposals, checking their content for relevance and ensuring the suitability of the material for the journal. The papers published in a Special Issue will be collected and displayed on a dedicated page of the journal’s website. Further information on MDPI's Special Issue polices and Guest Editor responsibilities can be found here. For any inquiries related to a Special Issue, please contact the Editorial Office.
Optimization in Renewable Energy Systems (2nd Edition)
Deadline: 30 November 2026
Recent Advances in Numerical Algorithms and Their Applications
Deadline: 30 November 2026
Data Sensing Techniques and Processing Algorithms for Smart and Sustainable Agriculture
Deadline: 30 November 2026
AI-Driven Control and Optimization in Power Electronics
Deadline: 30 November 2026
Advanced Artificial Intelligence/Machine Learning Techniques for Safe Operation and Control in Power and Sustainable Energy Systems: 2nd Edition
Deadline: 30 November 2026
Advances in Machine Learning and Data Mining Algorithms for Blockchain Technology
Deadline: 30 November 2026
Advances in Deep Learning-Based Data Analysis
Deadline: 30 November 2026
AI and Computational Methods in Engineering and Science: 2nd Edition
Deadline: 30 November 2026
Intelligent Algorithms for Modern Supply Chain and Inventory Optimization
Deadline: 30 November 2026
Transportation and Traffic Engineering
Deadline: 30 November 2026
Advances in Algorithms Through Heuristics: Theory, Applications, and Innovations: 2nd Edition
Deadline: 30 November 2026
Reinforcement Learning Algorithms for Intelligence Enhancement and Continual Learning
Deadline: 30 November 2026
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