Abstract
Evolutionary Algorithms Applied to Antennas and Propagation: Emerging Trends and Applications 2017
Highlights
The papers of the special issue demonstrate a continuous interest for application of new evolutionary algorithms (EAs) to an ever increasing range of problems in the antennas and propagation areas
Wang et al present a hybrid method suitable for the predictions of radio wave propagation in small areas found in urban environments in the paper “Combination of the Improved Diffraction Nonlocal Boundary Condition and Three-Dimensional Wide-Angle Parabolic Equation Decomposition Model for Predicting Radio Wave Propagation”
Javor et al In the paper “Application of Genetic Algorithm to Estimation of Function Parameters in Lightning Currents Approximations,” the genetic algorithm is applied for the estimation of the parameters of two-peaked analytically extended function (2P-AEF) which are used for approximation of measured and typical lightning discharge currents
Summary
The papers of the special issue demonstrate a continuous interest for application of new EAs to an ever increasing range of problems in the antennas and propagation areas. The special issue consists of five research papers, two for propagation and three for antenna problems. The algorithms used by the authors are genetic algorithms (two papers), swarm optimization (one paper), invasive weed optimization (one paper), and a hybrid technique (one paper).
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
