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Entropy in Soft Computing and Machine Learning Algorithms III

A special issue of Entropy (ISSN 1099-4300). This special issue belongs to the section "Multidisciplinary Applications".

Deadline for manuscript submissions: 29 February 2024 | Viewed by 613

Special Issue Editors

Depto. de Innovación Basada en la Información y el Conocimiento, Universidad de Guadalajara, CUCEI, Av. Revolución 1500, 44430 Guadalajara, Jal., Mexico
Interests: metaheuristics; bioinspired computation; image processing; machine learning; optimization
Special Issues, Collections and Topics in MDPI journals
Dr. Seyed Jalaleddin Mousavirad
E-Mail Website
Guest Editor
Department of Computer and Electrical Engineering (DET), Mid Sweden University, Holmgatan, 852 30 Sundsvall, Sweden
Interests: machine learning; evolutionary computation; deep learning; neuroevolution; image processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Soft computing and machine learning algorithms are used in different fields of science and technology. They are important tools designed to solve complex real-life problems under uncertainty.

Entropy is a powerful tool that has changed the analysis of information. The use of entropy has been extended in soft computing and machine learning methodologies, from measuring uncertainty to exploring and exploiting search spaces in optimization. Different kinds of entropy are used depending on what is required. Moreover, it is necessary to use soft computing and machine learning methods to provide accurate solutions to complex problems in the information era. Hybrid algorithms are also important; they merge skills from different approaches and make decisions based on different rules to accurately explore the possible solutions.

Since the fields of soft computing and machine algorithms are constantly growing, following all the different branches in which entropy is used is complicated. Considering the above, this Special Issue aims to present the latest advances in soft computing and machine learning algorithms that employ or solve problems where entropy is included. It also seeks to include literature reviews and surveys on related topics.

Dr. Diego Oliva
Dr. Seyed Jalaleddin Mousavirad
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. Entropy 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 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

  • metaheuristics
  • bioinspired algorithms
  • cross entropy
  • Shannon entropy
  • fuzzy entropy
  • machine learning
  • neural networks
  • swarm optimization
  • evolutionary computation
  • fuzzy logic
  • genetic algorithms
  • deep learning

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Published Papers

This special issue is now open for submission.
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