Cellular Learning Automata: Theory and Applications
This book highlights both theoretical and applied advances in cellular learning automata (CLA), a type of hybrid computational model that has been successfully employed in various areas to solve complex problems and to model, learn, or simulate complicate
- PDF / 20,394,015 Bytes
- 377 Pages / 453.543 x 683.15 pts Page_size
- 75 Downloads / 244 Views
Reza Vafashoar Hossein Morshedlou Alireza Rezvanian Mohammad Reza Meybodi
Cellular Learning Automata: Theory and Applications
Studies in Systems, Decision and Control Volume 307
Series Editor Janusz Kacprzyk, Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland
The series “Studies in Systems, Decision and Control” (SSDC) covers both new developments and advances, as well as the state of the art, in the various areas of broadly perceived systems, decision making and control–quickly, up to date and with a high quality. The intent is to cover the theory, applications, and perspectives on the state of the art and future developments relevant to systems, decision making, control, complex processes and related areas, as embedded in the fields of engineering, computer science, physics, economics, social and life sciences, as well as the paradigms and methodologies behind them. The series contains monographs, textbooks, lecture notes and edited volumes in systems, decision making and control spanning the areas of Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems and other. Of particular value to both the contributors and the readership are the short publication timeframe and the world-wide distribution and exposure which enable both a wide and rapid dissemination of research output. ** Indexing: The books of this series are submitted to ISI, SCOPUS, DBLP, Ulrichs, MathSciNet, Current Mathematical Publications, Mathematical Reviews, Zentralblatt Math: MetaPress and Springerlink.
More information about this series at http://www.springer.com/series/13304
Reza Vafashoar Hossein Morshedlou Alireza Rezvanian Mohammad Reza Meybodi •
•
•
Cellular Learning Automata: Theory and Applications
123
Reza Vafashoar Computer Engineering Department Amirkabir University of Technology (Tehran Polytechnic) Tehran, Iran Alireza Rezvanian Department of Computer Engineering University of Science and Culture (USC) Tehran, Iran
Hossein Morshedlou Department of Computer Engineering and Information Technology Shahrood University of Technology Shahrood, Iran School of Computer Science Institute for Research in Fundamental Sciences (IPM) Tehran, Iran Mohammad Reza Meybodi Computer Engineering Department Amirkabir University of Technology (Tehran Polytechnic) Tehran, Iran
ISSN 2198-4182 ISSN 2198-4190 (electronic) Studies in Systems, Decision and Control ISBN 978-3-030-53140-9 ISBN 978-3-030-53141-6 (eBook) https://doi.org/10.1007/978-3-030-53141-6 © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021 This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinti
Data Loading...