RAEM 2017 - Special Issue on Recent Applications of Evolutionary Methods to Information and Communication Technologies

Evolutionary methods include evolutionary algorithms (EAs), swarm intelligence (SI), and memetic algorithms (MAs). The use of computational intelligence has had an increasing impact on solving real-world problems in information and communication technologies in recent years. Additionally, hybrid combinations of evolutionary methods and problem specific techniques are also emerging.
We invite researchers to contribute original papers describing applications and experiences on the emerging trends of evolutionary methods for solving real-world problems in information and communication technologies. The purpose of this special issue is to publish high-quality research papers as well as review articles addressing recent advances on evolutionary methods in information and communication technologies with a special focus on real-world applications.
Potential topics include, but are not limited to:
Evolutionary methods
Evolutionary algorithms (EAs)
Multiobjective optimization (MO)
Swarm intelligence (SI)
Hybrid techniques, Memetic Algorithms (MAs)
Potential Applications
Antenna design
Microwave structures design
Wireless communications
Network design
Network routing
Channel Assignment
Smart Grid
Job scheduling and resource allocation
Other applications
Authors can submit their manuscripts via the Manuscript Tracking System at http://mts.hindawi.com/submit/journals/acisc/racie....
Manuscript Due Friday, 25 November 2016
First Round of Reviews Friday, 17 February 2017
Publication Date Friday, 14 April 2017
Lead Guest Editor
Sotirios K. Goudos, Aristotle University of Thessaloniki, Thessaloniki, Greece
Guest Editors
Hui Wang, Nanchang Institute of Technology, Nanchang, China
Christos Kalialakis, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), Barcelona, Spain