Advances in Machine Learning and Symmetry/Asymmetry
A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".
Deadline for manuscript submissions: 31 May 2025 | Viewed by 567
Special Issue Editors
Interests: Internet of Things system design; machine learning and its application in agriculture and forestry; embedded instrumentation
Special Issue Information
Dear Colleagues,
As a critical concept in understanding the laws of nature, symmetry has been well-investigated in studies of mathematical optimizations. Over the past few decades, optimization has played a pivotal role in formulating and solving machine learning tasks, thus the connection between optimization and machine learning is becoming a popular research topic. It is no surprise that with the ever-increasing complexity of real-life tasks, both optimization and machine learning come with inherent facets of symmetry or asymmetry conveyed in different formal ways, which requires effective approaches to produce optimal solutions as well as efficient algorithms.
This Special Issue is focused on the methodologies and applications of coping with symmetry in optimization through the usage of concepts of machine learning. Research papers that employ theoretical analysis and/or practical applications in the related scope are welcomed. Papers devoted to improving the interpretability and the computational efficiency of the symmetry constrained optimization models are also welcomed.
Dr. Jun Song
Dr. Hongbin Liu
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. Symmetry 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 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
- machine learning
- iIterative algorithm
- heuristic method
- efficiency
- symmetry constrained optimization
- process monitoring
- fault diagnosis
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