Connectionists: AppSci (IF 2.217) Special Issue on Optimization, Processing, and Visualization of Data for Sustainability

[Bernabe Dorronsoro]

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Applied Sciences journal (IF: 2.217)
https://www.journals.elsevier.com/journal-of-parallel-and-distributed-computing/call-for-papers <https://www.journals.elsevier.com/journal-of-parallel-and-distributed-computing/call-for-papers> 

Special Issue on Optimization, Processing, and Visualization of Data for Sustainability
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FULL PAPER SUBMISSION DEADLINE: May 31st, 2020

At present, data have immense value in the digital world. All computer-based systems gather any kind of data, and companies make use of them to get a huge value out of them, in many different senses. The amount of stored data is continuously growing, and there is a need for efficient techniques to allow getting the most out of it. We focus in this Special Issue on recent advances on data-based optimization, knowledge extraction, and visualization techniques, focused on the enhancement of the sustainability of a system, product, process, etc. Interesting applications of sustainability enhancement can be found in applications belonging to fields such as logistics, mobility, industry, networks, (mobile) computing, or smart cities, among many others.

This Special Issue aims at attracting outstanding research works proposing the application of tools based on novel techniques in fields such as:

- Evolutionary algorithms;
- Heuristics;
- Exact approaches;
- Single-/multiobjective optimization;
- Parallel computing;
- Machine learning;
- Deep learning;
- Big Data techniques;
- Data analytics;
- Visualization and computer graphics.

The topics of interest for the applications are, among others:

- Industry 4.0;
- Logistics;
- Dynamic/static networks;
- Smart cities;
- Intelligent transportation systems;
- Smart Grid;
- Scheduling;
- Computing, from small portable devices to large datacenters.

All high-quality submitted papers related to the listed topics will be considered for publication in this Special Issue, provided they are recommended for publication after the review process. All manuscript submissions and reviews will be handled by the MDPI submission system https://susy.mdpi.com/ <https://susy.mdpi.com/>. All papers should be prepared according to the MDPI Guide for Authors.

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com <http://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. 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 1800 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. 


GUEST EDITORS
- Patricia Ruiz, University of Cadiz, Spain
 patricia.ruiz at uca.es <mailto:patricia.ruiz at uca.es>
- Juan Carlos de la Torre, University of Cadiz, Spain
 juan.detorre at uca.es <mailto:juan.detorre at uca.es>
- Bernabe Dorronsoro, University of Cadiz, Spain
 bernabe.dorronsoro at uca.es <mailto:bernabe.dorronsoro at uca.es>
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