Special Session on Evolutionary Computation in Internet of Everything



Special Session organizers:

  1. Prof. Kusum Deep ( kusumdeep@gmail.com ), Indian Institute of Technology, Roorkee, India
  2. Dr. Hesham Elsayed ( helsayed@uaeu.ac.ae ), United Arab Emirates University, UAE
  3. Dr. Mukesh Prasad ( mukesh.prasad@uts.edu.au ), University of Technology Sydney, Australia

Scope and Topics

Evolutionary Computation (EC) constituents an umbrella of techniques, has proven to be flexible in solving dynamic and complex real-world problems. These techniques typically include neural networks and learning algorithms, fuzzy systems, evolutionary computation and other emerging techniques for dealing with uncertainties In Evolutionary optimization, machine learning and data mining.

The EC techniques are also widely used in Internet of Everything (IoEt) applications such as Internet of Things, Fog Computing, Edge Computing, and Cloud Computing, to financial infrastructure infrastructure at different levels. A large amount of effort is being put toward achieving distributed Artificial The acquiring concepts of fog computing, cloud computing, and edge computing are instances of distributive computing. Distributed Artificial Intelligence is a method to enable complex learning, planning, and decision-making problems in a decentralized fashion. It is able to execute large The The experience of the computing system, the potential of the computing of the large data sets. This approach, when put together with the idea of ​​Internet of Everything,Opens up a new world of applications of artificial intelligence in a localised manner.

It is clear that Evolutionary Computation is going to play a huge role in the lives of the average human being. With the ongoing research in fields like distributive computing, fuzzy logic, neural networks etc, we can also be sure that the intelligence that will run The world will be far more advanced and heuristic than the kind we have today.


The main topics of this special session include, but are not limited to, the following:

  • Data Analytics middleware for Edge computing
  • Cloud-based intelligent analytics
  • Edge-node-driven data analytics
  • Intelligent data synchronization and updating between Edge nodes or Cloud nodes
  • Data metering for Edge nodes and Cloud nodes
  • Intelligent pricing mechanisms for Edge nodes and Cloud nodes
  • Data-driven privacy and security solutions in Edge computing and Cloud computing
  • Case studies for data analytics using Edge nodes or Cloud nodes

Paper Submission:

The papers should be submitted through IEEE CEC's submission central. After logging into the submission system, you need to choose Special Session on " Evolutionary Computation in Internet of Everything ".

Important Dates:

Paper submission due: Jan. 7, 2019

Notification of acceptance: Mar. 7, 2019

Author registration deadline: Mar. 31, 2019

Camera-ready deadline: Mar. 31, 2019

Information about IEEE CEC 2019: http://cec2019.org/#

We look forward to receiving your high-quality submissions.