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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.

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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

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重要日期
  • 会议日期

    07月18日

    2016

    07月22日

    2016

  • 07月22日 2016

    注册截止日期

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