Title :
Antenna Optimization With a Computationally Efficient Multiobjective Evolutionary Algorithm
Author :
John, Matthias ; Ammann, Max J.
Author_Institution :
Sch. of Electron. & Commun. Eng., Dublin Inst. of Technol., Dublin
Abstract :
An efficient multiobjective evolutionary algorithm is described for optimizing a novel spline based printed monopole antenna. The antenna geometry is based on spline outlines. Both radiating element and groundplane are simultaneously optimized by the algorithm. The resulting antenna performance is evaluated. It is shown that the evolutionary algorithm and the spline geometry can be used to efficiently generate ultrawideband antennas on limited computing resources.
Keywords :
computational geometry; evolutionary computation; microstrip antennas; monopole antennas; splines (mathematics); ultra wideband antennas; antenna geometry; antenna optimization; multiobjective evolutionary algorithm; spline based printed monopole antenna; ultra wideband antennas; Algorithm design and analysis; Computational geometry; Concurrent computing; Evolutionary computation; Genetic algorithms; Optimization methods; Particle swarm optimization; Spline; Ultra wideband antennas; Ultra wideband technology; Antenna optimization; multiobjective evolutionary algorithm; spline; ultrawideband (UWB) antenna;
Journal_Title :
Antennas and Propagation, IEEE Transactions on
DOI :
10.1109/TAP.2008.2009775
