Advances in Computational Intelligence and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 26 February 2026 | Viewed by 148
Special Issue Editors
Interests: computational intelligence; optimization algorithm; pattern recognition; intelligent systems
Interests: computational intelligence; image processing; pattern recognition; intelligent systems
Interests: artificial intelligence; intelligent control; computer control; energy-saving control
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Computational intelligence (CI) is a rapidly evolving field that has been widely adopted across industries to tackle complex, cross-disciplinary challenges. By leveraging advanced algorithms, such as evolutionary computation, swarm intelligence, fuzzy systems, and deep learning, CI has significantly contributed to the optimization and intelligent development of models. It provides innovative solutions for problems that traditional methods struggle to address. Despite the advancements, numerous technical challenges remain, necessitating further exploration and development.
This Special Issue aims to highlight the latest research in CI and its diverse applications. It serves as a platform for both academic and industry researchers to share new theories, methodologies, and practical insights. We welcome contributions focusing on theoretical advancements, algorithm development, and real-world applications in fields such as intelligent robotics, smart healthcare, sustainable energy, and industrial automation. Furthermore, we encourage research addressing emerging challenges in big data analytics, intelligent systems, and human–machine interaction.
We invite researchers and professionals in the field to submit original research, application-oriented studies, or comprehensive reviews related to the theme of this Special Issue. Together, we aim to explore and expand the frontiers of computational intelligence, driving its continued growth and application in both academia and industry while providing strong theoretical foundations and technological solutions to foster innovation across various sectors.
Dr. Chaodong Fan
Dr. Leyi Xiao
Prof. Dr. Yingjie Zhang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) 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 (about 100 words) can be sent to the Editorial Office for announcement on this website.
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. Mathematics 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 2600 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
- artificial intelligence
- intelligent optimization
- swarm intelligence
- tensor heterogeneous computing
- fuzzy systems
- artificial neural networks
- machine learning
- deep learning
- reinforcement learning
- data-driven optimization
- intelligent transportation systems
- pattern recognition
- autonomous driving
- traffic volume prediction
- traffic signal control
- railway intelligent scheduling algorithms
- itinerary planning
- social network analysis
- community detection
- network influence maximization
- Internet of Things
- smart healthcare
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