Nature-Inspired Algorithms in Machine Learning (3rd Edition)
A special issue of Algorithms (ISSN 1999-4893). This special issue belongs to the section "Evolutionary Algorithms and Machine Learning".
Deadline for manuscript submissions: 15 October 2025 | Viewed by 72
Special Issue Editors
Interests: data science; artificial neural networks; metaheuristics; swarm intelligence; evolutionary computation; deep learning
Special Issues, Collections and Topics in MDPI journals
Interests: computational intelligence; data mining; metaheuristics; dimensionality reduction; unsupervised learning
Special Issues, Collections and Topics in MDPI journals
Interests: nature inspired algorithms and their applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are excited to invite you to submit your papers to a Special Issue of Algorithms entitled “Nature-Inspired Algorithms in Machine Learning (3rd Edition)”. Algorithms is an established MPDI journal indexed by Clarivate Web of Science and Scopus, among others.
Machine learning algorithms are currently omnipresent and are used in a variety of practical solutions, spanning from space engineering to e-commerce. Apart from the standard statistical approach, nature-inspired algorithms are also frequently used in this area due to the complexity of data exploration tasks and the possibility of incorporating additional factors into a nature-inspired algorithm.
For this Special Issue, we will accept a broad range of papers highlighting new advances in the field of nature-inspired machine learning algorithms. We invite contributions describing new techniques, novel evaluation criteria, and interesting case studies, as well as papers discussing specific variants of existing algorithms and the challenges of Big Data. A limited number of state-of-the-art reviews will also be considered for publication.
We welcome you to contribute and to contact us with any questions or concerns.
Prof. Dr. Piotr A. Kowalski
Dr. Szymon Łukasik
Dr. Rohit Salgotra
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. Algorithms is an international peer-reviewed open access monthly 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 1600 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
- data science/data mining
- clustering
- classification
- outlier detection
- dimensionality reduction
- unsupervised learning
- supervised learning
- nature-inspired algorithms
- metaheuristics
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Related Special Issues
- Nature-Inspired Algorithms in Machine Learning (2nd Edition) in Algorithms (6 articles)
- Nature-Inspired Algorithms in Machine Learning in Algorithms (12 articles)
