Special Issue on New Applications of Learning Automata-based Techniques in Real-World Environments

in Special Issue   Posted on August 13, 2017 

Information for the Special Issue

Submission Deadline: Tue 28 Feb 2017
Journal Impact Factor : 2.644
Journal Name : Journal of Computational Science
Journal Publisher:
Website for the Special Issue: https://www.journals.elsevier.com/journal-of-computational-science/call-for-papers/special-issue-on-new-applications-of-learning-automata-based
Journal & Submission Website: https://www.journals.elsevier.com/journal-of-computational-science

Special Issue Call for Papers:

Learning automaton (LA) as a promising field of artificial intelligence is a kind of self-adaptive decision-making devices that interacts with an unknown stochastic environment and is progressively able to make optimal decisions even if provided with probabilistic wrong hints. LA has made a significant impact in all areas of computer science and engineering problems. In the last decade, a wide range of learning automata theories, models, paradigms and applications have been published by researchers. There are resource allocation, pattern recognition, image processing, task scheduling, data mining, computer networks, Peer-to-Peer networks, communication networks, vehicular sensor networks, grid computing, cloud computing, adaptive Perti nets, complex social networks, and optimization, to mention a few. Learning automata are especially suitable for modelling, learning, controlling and solving real-world problems where the available information is incomplete; the environment is either noisy or has a high degree of uncertainty.

Subject Coverage

This special issue is intended to collect recent research results that address key issues and topics related to learning automata theories, architecture, models, algorithms and their applications in real-world problems. Topics of interest include (but are not limited to):

  • Recent advances in learning automata theory for modelling, learning, controlling and solving real-world problems
  • Recent models of learning automata for solving complex problems
  • Adaptive systems and learning automata
  • Distributed systems and learning automata
  • Convergence issues of new models of learning automata
  • Cellular learning automata (CLA) and its new variants
  • Network of learning automata and its new variants
  • Discretized learning automata
  • Estimator learning automata
  • Multilevel systems of learning automata
  • Interconnected learning automata
  • Games of learning automata
  • Convergence issues of new learning algorithms
  • Hybrid models of learning automata
  • Recent applications of new models of learning automata


Papers should be submitted online via the JoCS standard submission system as “SI: LA-applications\”, at https://www.evise.com/profile/#/jocs/login. Please follow the journal submission guidelines. While the submission deadline is February 28, 2017, authors are encouraged to submit their manuscripts earlier. Editorial decisions may be made accordingly well before the submission deadline. All submissions will be reviewed by at least three independent reviewers. The editors will approve final decisions on accepted papers. 

Important dates 

Manuscript due: February 28, 2017
First round of reviews: April 30, 2017
Revised paper due: July 15, 2017
Final author notification: October 30, 2017
Expected publication: the final quarter of 2017

Guest Editors of this Special Issue:

Alireza Rezvanian
Computer Engineering and Information Technology Department, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran (Corresponding Editor)

S. Mehdi Vahidipour
Computer Engineering Department, Faculty of Electrical and Computer Engineering, University of Kashan, Iran

Mehdi Esnaashari
Computer Engineering Department, K. N. Toosi University of Technology, Tehran, Iran

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