Special Issue "Computational Intelligence and Nature-Inspired Algorithms for Real-World Data Analytics and Pattern Recognition"
A special issue of Algorithms (ISSN 1999-4893).
Deadline for manuscript submissions: closed (30 September 2017)
Dr. Mauro Castelli
Associate Professor, NOVA Information Management School (NOVA IMS), Universidade Nova de Lisboa, 1070-312 Lisboa, Portugal
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Interests: evolutionary computation; genetic programming; genetic algorithms; swarm intelligence; artificial intelligence; machine learning; soft computing; heuristics for combinatorial optimization
Computational Intelligence (CI) and Nature-Inspired Computation (NIC) are mature branches of Artificial Intelligence. The main feature common to the techniques they deal with is that, given a problem, they mimic a natural system or process to construct a solution that is optimal for both quality and robustness. The analogies and abstractions developed in these fields have been able to provide valuable insights for successful algorithmic design and improvement, in many cases outperforming traditional search and heuristics. Relevant examples include fuzzy systems, evolutionary algorithms, and neural networks.
CI and NIC have demonstrated to be able to produce human-competitive results, as has happened with neural models that have led to the development of Deep Learning, or with the study of artificial evolution and the development of Genetic Algorithms and Genetic Programming. These techniques have been particularly successful in the fields of Pattern Recognition and Data Analytics.
The aim of this Special Issue is to gather and present recent work where CI and NIC algorithms are specifically designed for, or applied to, solving complex real-world problems in Data Analytics and Pattern Recognition, by means of:
- state-of-the-art methods having general applicability,
- domain-specific solutions, or
- hybrid algorithms that integrate CI and NIC with traditional numerical and mathematical methods.
Potential application domains include:
- Biomedical applications
- Big Data problems in industry
- Intelligent manufacturing and industrial processes optimization
- Computer vision and image processing
- Automatic modeling and programming
- Efficient implementations using parallel and distributed computing
Dr. Stefano Cagnoni
Dr. Mauro Castelli
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 papers will be 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 1000 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.