Special Issue on Evolutionary Algorithms (EAs) for IOT

Submission Deadline: Aug. 30, 2020

Please click the link to know more about Manuscript Preparation: http://www.ajset.org/submission

This special issue currently is open for paper submission and guest editor application.

Please download to know all details of the Special Issue

Special Issue Flyer (PDF)
  • Lead Guest Editor
    • Nour El-Houda Benalia
      Signal and Communication Laboratory, Polytechnic National School, El Harrach, Algeria
  • Guest Editor
    Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to complete the Guest Editor application.
    • Rabah Sadoun
      Signal and Communication Laboratory, Polytechnic National School, El Harrach, Algeria
    • Widad Kartous
      Signal and Communication Laboratory, Polytechnic National School, El Harrach, Algeria
    • Ahlem Bentrah
      Batna 2 University, Batna, Algeria
    • Essma Bendiab
      Constantine 2 University, Constantine, Algeria
    • Soraya Hamida
      Batna 2 University, Batna, Algeria
    • Ahmad Hailan
      Department of Computer Science ,Thi-Qar University, Baghdad, Iraq
    • Antonina Tretyakova
      Peoples' Friendship University of Russia, Institute of Applied Mathematics and Communications Technologies, Moscow, Russia
    • Mohd Abdul Muqeet
      Electrical Engineering Department, Osmania University, Hyderabad, Telangana, India
  • Introduction

    Nowadays and with the evolution of computing tools and algorithmics, bio-mimicry is starting to become a reality and a very active research axis. A wide range of algorithms covering most areas such as robotics, biomedical electronics, control systems, finance ... etc. In addition, the field of connected objects (IoT), and its natural variation which is the big data takes more and more a dominating place by imposing in fact the fourth industrial revolution. Cloud and fog computing become another proven reality.
    By proposing to integrate into this dynamic, we project through our research activities to combine these three paradigms (bio inspired, IoT (embedded), cloud and fog computing) to explore through training and research this emerging field to through the study of evolutionary algorithms for their implementations on embedded targets through algorithm - architecture matching approach on heterogeneous targets. The challenge is important knowing that this type of algorithm is often seen as having to run on HPC platforms.
    We will discuss the application of these bio-inpired algorithms and their implementations in a platform IoT / Big Data in the domains of a certain interest.
    Aims and Scope:
    1. Disseminate original, scientific, theoretical research in area of IoT, and bioinspired methods
    2. Look for the advanced bioinspired methods
    3. Aqueduct the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research
    4. Apply of these methods and their implementations in an IoT / Big Data platform
    5. Seek original and unpublished research papers based on theoretical or experimental works for the publication globally
    6. Design of IoT platform presenting a fog embedded computing declination dedicated to diverse domains of interest

  • Guidelines for Submission

    Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.

    Papers should be formatted according to the guidelines for authors (see: http://www.ajset.org/submission). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.

  • Published Papers

    The special issue currently is open for paper submission. Potential authors are humbly requested to submit an electronic copy of their complete manuscript by clicking here.