Exploration and Application of Swarm Intelligence and Evolutionary Computation

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 August 2024 | Viewed by 336

Special Issue Editors


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Guest Editor
Graduate Program in Electrical Engineer (PPGEE), Universidade Tecnológica Federal do Paraná (UTFPR), Ponta Grossa 81217-220, PR, Brazil
Interests: artificial intelligence; neural networks; genetic algorithm; echo state networks; extreme learning machines; bio-inspired computing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Graduate Program in Computer Engineering, Polytechnic School of Pernambuco, University of Pernambuco, Recife 50720-001, Brazil
Interests: artificial intelligence; swarm and evolutionary optimization; new algorithms; Net-Sci; semiotics and AI; AI for compliance
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Division of Computer Science, Stellenbosch University, Stellenbosch 7600, South Africa
Interests: artificial intelligence; swarm and evolutionary optimization; hyper-heuristics; data analytics; machine learning; neural networks

Special Issue Information

Dear Colleagues,

This Special Issue aims to collect high-quality original research papers and reviews in the field of Swarm Intelligence and Evolutionary Computation. We encourage researchers to contribute with their latest developments, or to invite relevant experts and colleagues to do so. New and improved versions of well-sedimented algorithms are welcome, as well as applications to real-word problems. The authors should provide a comprehensive and scientifically sound overview of the most recent research and methodological approaches. Both experimental and methodological contributions are welcome.

In this regard, this Special Issue aims to encourage both academic and industrial researchers to present their latest findings concerning the previously cited aspects, which can significantly contribute to the achievement of new methods to develop algorithms, processes and devices.

The Editors of this Special Issue welcome submissions that address issues including, but not limited to:

  • Swarm intelligence;
  • Evolutionary algorithms;
  • Nature-inspired algorithms;
  • Combinatorial optimization;
  • Binary optimization;
  • Real-world applications;
  • Feature selection;
  • Clustering;
  • Classification;
  • Reinforced learning;
  • Time series forecasting.

Prof. Dr. Hugo Valadares Siqueira
Prof. Dr. Fernando Buarque
Prof. Dr. Andries P. Engelbrecht
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. Applied Sciences 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 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.

Published Papers

This special issue is now open for submission.
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