Journal
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
Volume 53, Issue 11, Pages 3616-3624Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAP.2005.858866
Keywords
electromagnetic absorbers; genetic algorithms; optimization; parallel processing; particle swarm optimization
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The application of parallel (synchronous) particle swarm optimization (PSO) to electromagnetic absorber design is described. Synchronous PSO is a version of PSO that allows for parallelization and hence faster optimization. The velocity updating rule is empirically determined, and a simple approach is presented to improve its robustness. Absorbers designed with the PSO approach are compared with absorbers designed by genetic algorithms (GAs). Numerical results demonstrate that the PSO is able to deliver absorbers with comparable performance to GA-designed absorbers, with much less computational cost.
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