CIComms 2014 - IEEE Symposium on Computational Intelligence for Communication Systems and Networks (CIComms 2014)

Computational Intelligence (CI) is arguably one of the most powerful approaches for the optimization and design of complex communication systems and networks in order to meet the requirements and need of new challenging applications. In this framework, nature-inspired computational methodologies based on Fuzzy Logic Systems, Neural Networks and Evolutionary Computation have been effectively applied as demonstrated by the significant increase in the number of research publications and conferences/meetings organized worldwide. The introduction of innovative designs and advanced techniques is fundamental to offer new capabilities to the next-generation services and applications.
Although the research on the CI applications has reached an impressive state, there are still many new research topics for the applications of CI continually emerging, especially in communications and networking area such as antenna systems, microwave devices and technologies, signal processing, design of computer networks. This symposium aims at bringing researchers and engineers from academia and industry together to report, interact and review the latest progress of CI applications in communications and networking, to explore future directions of research and to publicize CI applications to a wider audience from diverse fields.
Topics
Authors are invited to submit their original and unpublished work in the areas including but not limited to Computational Intelligence for/in:
nature-inspired approaches for the design of communications systems and networks;
multi-objective optimization of network resources;
simplified and cost effective communication architectures;
design of wireless networks;
dynamic and reconfigurable antenna systems;
passive and active microwave technologies;
signal processing;
computer networks design and optimization;
network protocols, services, and management;
design of Future Internet;
optical communication systems and networks;
bio-inspired and artificial networks;
autonomic communication networks;
nano and molecular networks;
social and green networking.