Multi-Objective Optimization Problems in High Frequency Electromagnetics – An Effective Technique for Smart Mobile Terminal Antenna (SMTA) Design
MetadataShow full item record
This paper describes several major optimization techniques, such as FDTD-simulated annealing (SA), FEM-Genetic algorithms (GA), and FD-TD-particle swarm optimization (PSO) and frequency domain FEM-PSO used for high-frequency electromagnetics and their applications in smart mobile terminal antenna (SMTA) design. Two SMTAs, a dielectric embedded electronically switched multi-beam (DE-ESMB) antenna and a dielectric embedded electronically steerable passive array radiator (DE-ESPAR) antenna, were successfully developed by using these multi-objective optimization techniques. The design considerations and rules based on computational electromagnetics and optimization techniques are explored for the practical application of dielectric embedded SMTAs. Index Terms-Dielectric embedded electronically switched multi-beam antenna, genetic algorithms, multi-objective optimization, particle swarm optimization, simulated annealing, smart mobile terminal antennas
IEEE Transactions on Magnetics
© 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Antennas and Propagation