ACME 2016 - Special Session on Advances in Computational Methods in Electromagnetics, Antenna Design, and Applications (ACME 2016)

The special session on Advances in Computational Methods in Electromagnetics, Antenna Design, and Applications provides an international forum for reporting progress and recent advances in computational techniques and simulation tools used in electromagnetics and antenna design and Applications.
Several evolutionary algorithms (EAs) have been applied to a variety of microwave component, antenna design, radar design, and wireless communications problems. These approaches, among others, include Genetic Algorithms (GAs), Evolution Strategies (ES), Particle Swarm Optimization (PSO), Differential evolution (DE), and Ant Colony Optimization (ACO). The use of the above algorithms has an increasing impact on antenna design and propagation problems. EAs combined in several occasions with numerical methods in electromagnetics have obtained significant and successful results. Additionally, hybrid combinations of EAs are also emerging.
We invite researchers to contribute original papers describing the applications and the emerging trends of the above to antenna and propagation as well as other electromagnetic problems.
ACME Topics of interest include, but are not restricted to the following areas:
Numerical Methods (MoM, FDTD, FEM, TLM, etc.)
Fast and Efficient Computational Methods in Electromagnetics
Hybrid Methods
Optimization Techniques
Modeling of Complex Mediums
Modeling of Electrically-large Structures
Inverse Scattering and Imaging Techniques
EM Simulation Tools
High-performance Computing in EM
Parallel and GPU Computing for EM
Printed and Conformal Antennas
Aperture Antennas
Multi-band and Wide-band Antennas
Antenna Arrays and Smart Antennas
Dielectric Resonator Antennas
Reconfigurable Antennas
Miniaturization of Antennas
Embedded Antennas
MEMS/Nano Technology for Antennas
EMC/EMI Applications
Radars and Remote Sensing
Millimeter-wave and Terahertz Antennas
RF and Microwave Circuits
Genetic Algorithms (GAs)
Evolution Strategies (ES)
Evolutionary Programming (EP)
Particle Swarm Optimization (PSO)
Differential evolution (DE)
Ant Colony Optimization (ACO)
Multiobjective optimization (MO)
Other innovative algorithms