Multi-Objective Optimization Problems in High Frequency Electromagnetics – An Effective Technique for Smart Mobile Terminal Antenna (SMTA) Design
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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.
Proceedings 13th Biennial IEEE Conference on Electromagnetic Field Computation
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Electrical and Electronic Engineering not elsewhere classified