Computational Intelligence and Evolutionary Algorithms

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 153

Special Issue Editor


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Guest Editor
Department of Computer Science, School of Physics, Engineering & Computer Science, University of Hertfordshire, Hatfield AL10 9AB, UK
Interests: computational intelligence; artificial intelligence; evolutionary algorithms; social signal processing

Special Issue Information

Dear Colleagues,

In our ever-changing world, where data are generated rapidly at an exponential rate, there is a need for computationally intelligent algorithms that are capable of quickly and accurately processing data and making good decisions. Automatically processing and analyzing these data, which are generated by social media platforms, commercial transactions, IoT, etc., provide huge advantages to a wide range of sectors, including retail, the automotive industry, defense, finance, manufacturing, etc. In this respect, many researchers have turned their attention to developing and analyzing computational intelligence algorithms. In the design process of CI algorithms, there are many stages in which there appears a need for an optimization algorithm. This includes the optimization of the structure of these algorithms, their parameters, learning weights, etc.

Optimization problems are everywhere and there are many problems that require an optimization algorithm in order to be solved. Inspired by the Darwinian theory of evolution, evolutionary algorithms have been successful in solving a variety of optimization problems. In this respect, this Special Issue addresses novel advances in CI and evolutionary algorithms and their relationships. This journal accepts high-quality studies with original research results and literature review papers in the following fields (by no means exhaustive):

  • Machine Learning;
  • Neural Networks;
  • Deep Learning;
  • Fuzzy Systems;
  • Evolutionary algorithms;
  • Swarm Intelligence;
  • Decision Making.

We look forward to receiving your submissions.

Dr. Mohammadhassan Tayaraninajaran
Guest Editor

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

  • machine learning
  • neural networks
  • deep learning
  • fuzzy systems
  • evolutionary algorithms
  • swarm intelligence
  • decision making

Published Papers

This special issue is now open for submission.
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