Introduction:

Various machine learning techniques has proven their effect on optimizing the result of complex problems in all domain of engineering. Evolutionary computational techniques come under unsupervised machine learning techniques those are very efficient in solving highly complex discrete problems. Intelligent agents could be robots, humans, human teams or a combination these can manifest self-organization and complex behaviors even though the individual strategies also in multi agent systems. This feature is attractive to solve problems that are either difficult or impossible for an individual agent or a monolithic system (also known as a single approach or an integrated approach) to solve, so Evolutionary Algorithms optimize the performance of Intelligent Agents in cognitive and swarming mode. This special session will cover all Evolutionary techniques like Genetic Algorithm, Particle Swarm Optimization, Genetic Programming, Evolutionary Strategies, Ant Colony Optimization, Artificial Bee Colony Algorithm, and Differential Evolution and their applications in intelligent agents as well as Individuals. Many researchers have optimized the performance of these techniques by using jointly or using their parameters in different ways, so till now many form of these techniques have evolved. This special session will provide the opportunity for researchers to present their research in Computational Evolutionary techniques.


Topics:

  • Information and Data Management
  • Social Networks
  • Data Compression
  • Information Content Security
  • E-Technology
  • Mobile, Ad Hoc and Sensor Network Management
  • E-Government
  • Web Services Architecture, Modeling and Design
  • E-Learning
  • Semantic Web, Ontologies
  • Wireless Communications
  • Web Services Security
  • Mobile Networking, Mobility and Nomadicity
  • Quality of Service, Scalability and Performance
  • Ubiquitous Computing, Services and Applications
  • Self-Organizing Networks and Networked Systems

Submission Process

Papers must be original work and not previously published, written in English. Submitted paper should be limited to a maximum length of 6 pages (Letter size, single space, Times Roman of font size 10, two columns, IEEE format), including figures, tables and references. Use the following Template.Researchers are encouraged to submit their full papers (Abstracts are not accepted) electronically as pdf format without author(s) name via link http://sdiwc.net/conferences/csceet2017/paper-submission/